Eye On A.I.

This episode is sponsored by RapidSOS. Close the safety gap and transform your emergency response with RapidSOS.   Visit https://rapidsos.com/eyeonai/ today to learn how AI-powered safety can protect your people and boost your bottom line. In this episode of the Eye on AI podcast, we explore the world of AI inference technology with Rodrigo Liang, co-founder and CEO of SambaNova Systems.   Rodrigo shares his journey from high-performance chip design to building SambaNova, a company revolutionizing how enterprises leverage AI through scalable, power-efficient solutions. We dive into SambaNova's groundbreaking achievements, including their record-breaking inference models, the Lama 405B and 70B, which deliver unparalleled speed and accuracy—all on a single rack consuming less than 10 kilowatts of power.   Throughout the conversation, Rodrigo highlights the seismic shift from AI training to inference, explaining why production AI is now about speed, efficiency, and real-time applications. He details SambaNova's approach to open-source models, modular deployment, and multi-tenancy, enabling enterprises to scale AI without costly infrastructure overhauls.   We also discuss the competitive landscape of AI hardware, the challenges of NVIDIA's dominance, and how SambaNova is paving the way for a new era of AI innovation. Rodrigo explains the critical importance of power efficiency and how SambaNova's technology is unlocking opportunities for enterprises to deploy private, secure AI systems on-premises and in the cloud.   Discover how SambaNova is redefining AI for enterprise adoption, enabling real-time AI, and setting new standards in efficiency and scalability.    Don't forget to like, subscribe, and hit the notification bell to stay updated on the latest breakthroughs in AI, technology, and enterprise innovation! Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI

In this episode of the Eye on AI podcast, we dive into the critical issue of data quality for AI systems with Sedarius Perrotta, co-founder of Shelf. Sedarius takes us on a journey through his experience in knowledge management and how Shelf was built to solve one of AI's most pressing challenges—unstructured data chaos. He shares how Shelf's innovative solutions enhance retrieval-augmented generation (RAG) and ensure tools like Microsoft Copilot can perform at their best by tackling inaccuracies, duplications, and outdated information in real-time. Throughout the episode, we explore how unstructured data acts as the "fuel" for AI systems and why its quality determines success. Sedarius explains Shelf's approach to data observability, transparency, and proactive monitoring to help organizations fix "garbage in, garbage out" issues, ensuring scalable and trusted AI initiatives. We also discuss the accelerating adoption of generative AI, the future of data management, and why building a strategy for clean and trusted data is vital for 2025 and beyond. Learn how Shelf enables businesses to unlock the full potential of their unstructured data for AI-driven productivity and innovation. Don't forget to like, subscribe, and hit the notification bell to stay updated on the latest advancements in AI, data management, and next-gen automation! Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Introduction and Shelf's Mission   (03:01) Understanding SharePoint and Data Challenges   (05:29) Tackling Data Entropy in AI Systems   (08:13) Using AI to Solve Data Quality Issues   (12:30) Fixing AI Hallucinations with Trusted Data   (21:01) Gen AI Adoption Insights and Trends   (28:44) Benefits of Curated Data for AI Training   (37:38) Future of Unstructured Data Management

Launch, run, and protect your business to make it official TODAY at https://www.legalzoom.com/ and use promo code EYEONAI to get 10% off any LegalZoom business formation product excluding subscriptions and renewals. In this episode of the Eye on AI podcast, we explore the cutting-edge world of AI-powered autonomy with Nathan Michael, CTO of Shield AI.   Nathan shares his journey from academia to leading one of the most innovative companies in defense technology, revealing how Shield AI is transforming autonomous systems to operate in the most challenging environments.     Throughout the episode, Nathan dives into Shield AI's groundbreaking technologies, including the revolutionary Hivemind platform, which enables drones and uncrewed jets to think, adapt, and act independently—even in GPS-denied and communication-jammed conditions. He explains how these systems are deployed across defense and commercial applications, reshaping intelligence, surveillance, and reconnaissance missions with unprecedented precision and resilience.     We also discuss the future of warfare and technology, from the commoditization of AI-driven autonomy to the ethical and strategic considerations of deploying these systems at scale. Nathan offers insights into how rapid iteration cycles and resilient intelligence will define the next era of defense innovation, ensuring mission success in increasingly complex scenarios.     Don't forget to like, subscribe, and hit the notification bell to stay updated on the latest advancements in AI, robotics, and the future of autonomous systems! Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Introduction to Shield AI and Hivemind (03:02) Nathan Michael's journey to Shield AI (06:07) Shield AI's mission and technology overview (10:18) VBAT: A versatile tail-sitter aircraft (12:44) Hivemind's swarm capabilities and applications (14:32) Ethics and societal guardrails for autonomous systems (17:24) Combat applications of quadcopters (19:12) Navigating and mapping unknown environments (20:38) Use of VBAT in Ukraine operations (22:10) Intelligence gathering and mission versatility (24:42) Transforming warfare with AI-driven autonomy (28:47) Teaming and communication in autonomous swarms (32:29) Communication networks in jammed conditions (35:34) Coordinated exploration with autonomous systems (38:13) Exploring buildings with quadcopter teams (40:57) Crewed-uncrewed teaming in modern combat (43:28) Global competition in AI and autonomy (46:03) Use of autonomous drones in Ukraine (50:28) Shield AI's vision: Proliferation of resilient intelligence (55:26) Expanding AI autonomy to commercial applications

This episode is sponsored by RapidSOS. Close the safety gap and transform your emergency response with RapidSOS.   Visit https://rapidsos.com/eyeonai/ today to learn how AI-powered safety can protect your people and boost your bottom line. In this episode of the Eye on AI podcast, we delve into the role of AI in product management with Christian Marek, VP of Product at Productboard.     Christian shares his journey in shaping the future of product management, exploring how AI is changing the way we ideate, build, and deliver customer-centric products.     Throughout the episode, Christian unveils Productboard's innovative AI-driven solutions, including the groundbreaking Productboard Pulse, which accelerates ideation and discovery by aggregating and analyzing customer feedback. He explains how AI enables product managers to prioritize features, write detailed specifications, and align product roadmaps with organizational goals—all while driving ROI and delivering exceptional customer experiences.     We also discuss the evolution of product management, from its origins to its rise as a mainstream discipline in organizations of all sizes. Christian offers insights into how AI tools are reshaping the product management landscape, making it more efficient, collaborative, and impactful than ever before.     Don't forget to like, subscribe, and hit the notification bell to stay updated on the latest breakthroughs in AI, product innovation, and customer-centric technology!   Checkout Productboard Pulse: https://www.productboard.com/product/voice-of-customer/ Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Introduction (03:18) What is Productboard? (05:04) Christian Marek's Journey (07:20) Defining Product Management (08:45) How Productboard Was Born (10:05) Transforming Product Management   (14:32) Exploring Use Cases: Existing and New Product Development   (18:13) Scaling Productboard (20:33) Managing Complex Projects Without Productboard   (24:59) Industries Using Productboard (26:29) Why Startups Benefit from Productboard   (29:25) Closing the Feedback Loop on Product Management   (33:16) Non-Digital Applications of Productboard (36:27) AI Model Selection (39:48) The Future of Product Management with AI (43:30) C-Suite Engagement and ROI with Productboard   (45:15) How to Get Started with Productboard

This episode is sponsored by Oracle. Oracle Cloud Infrastructure, or OCI is a blazing fast and secure platform for your infrastructure, database, application development, plus all your AI and machine learning workloads. OCI costs 50% less for compute and 80% less for networking. So you're saving a pile of money. Thousands of businesses have already upgraded to OCI, including MGM Resorts, Specialized Bikes, and Fireworks AI.   Cut your current cloud bill in HALF if you move to OCI now:  https://oracle.com/eyeonai   In this episode of the Eye on AI podcast, Tariq Shaukat, CEO of Sonar, joins Craig Smith to explore the future of code quality, security, and AI's role in software development.   Tariq shares his journey from leading roles at Google Cloud and Bumble to helming Sonar, a company disrupting code assurance for developers worldwide. With over 7 million users and support for 30+ programming languages, Sonar has become a critical tool in ensuring clean, maintainable, and secure code.   We dive into Sonar's innovative AI Code Assurance Workflow, which integrates seamlessly with generative AI tools like Copilot and Codium. Tariq discusses how Sonar addresses the challenges of AI-generated code, tackling issues like security vulnerabilities, maintainability problems, and the accountability crisis in today's coding landscape.   Tariq also unpacks the importance of hybrid deterministic and AI-driven approaches, the role of design and architecture in modern software development, and how Sonar is helping companies manage tech debt across billions of lines of code.   With Sonar's recent enterprise-grade SaaS launch and commitment to reducing developer toil, this episode offers valuable insights for developers, tech leaders, and anyone interested in the evolving intersection of AI and software engineering.   Don't forget to like, subscribe, and hit the notification bell for more discussions on AI, technology, and innovation!     Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI     (00:00) Introduction to Tariq Shaukat and Sonar (01:23) Overview of SonarQube (03:03) Deterministic Systems and AI Integration (07:36) Challenges of AI-Generated Code (10:12) Early Issue Detection in Development (12:33) Accountability in AI Code Generation (16:20) Importance of Rigorous Code Reviews (19:34) Managing Tech Debt with Continuous Improvement (22:16) Why Sonar Focuses on Integration (25:08) Reviewing Billion-Line Code Bases with Sonar (29:37) Tailoring Sonar for Specific Codebases and Workflows (32:40) Avoiding Overwhelming Developers with Noise (37:49) Governance and Managing Complex Codebases (40:50) Addressing Tech Debt in Legacy Systems (45:07) Sonar's Open-Source Model and Philosophy (48:11) What's Next for Sonar

Launch, run, and protect your business to make it official TODAY at https://www.legalzoom.com and use promo code EYEONAI to get 10% off any LegalZoom business formation product excluding subscriptions and renewals.     In this episode of the Eye on AI podcast, Matt Panousis, Co-Founder & COO @ LipDub AI, shares the journey behind the platforms a cutting-edge AI-powered lip-syncing tool revolutionizing the dubbing industry.   Matt joins Craig to explore the future of content localization, the evolution of LipDub, and how generative AI is transforming how audiences experience video content worldwide.   As a leader in AI and visual effects, Matt discusses how LipDub integrates advanced AI to enable real-time lip-syncing for dubbed audio, making Hollywood-quality dubbing affordable and accessible. From processing hours of video footage to handling complex, dynamic scenes, LipDub is empowering content creators to reach global audiences like never before.   We explore the challenges of creating realistic lip movements, the importance of mouth internals, textures, and fidelity, and how tools like LipDub stand apart from competitors like Rasque AI. Matt also introduces Vanity AI, LipDub's sister technology for automated digital makeup and de-aging, used by MARZ for high-end visual effects work.   Learn how LipDub is redefining the possibilities of content localization with AI and what the future holds as this technology evolves.   Don't miss this deep dive into AI-powered innovation with Matt Panousis. Like, subscribe, and hit the notification bell for more episodes exploring cutting-edge advancements in AI!   Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI     (00:00) Introduction & Matt Panousis Background (02:45) Origins of MARZ and LipDub (04:20) LipDub vs. Competitors (06:15) Integration with Dubbing Solutions (08:00) LipDub Technical Process (10:20) Competition (12:20) Time and Cost (14:00) Target Markets and Use Cases (19:00) Future Developments (22:00) Translation and Timing Challenges (28:00) Ethical Concerns and Misuse (30:30) Digital Watermarking (32:25) Real-World Examples and Future Products (34:00) Team Building and Research (37:00) Building the Advisory Board (38:10) Securing Research Talent (40:00) Funding and the Board (40:35) Future Products

Launch, run, and protect your business to make it official TODAY at https://www.legalzoom.com and use promo code EYEONAI to get 10% off any LegalZoom business formation product excluding subscriptions and renewals.     In this episode of the Eye on AI podcast, Matt Panousis, Co-Founder & COO @ LipDub AI, shares the journey behind the platforms a cutting-edge AI-powered lip-syncing tool revolutionizing the dubbing industry.   Matt joins Craig to explore the future of content localization, the evolution of LipDub, and how generative AI is transforming how audiences experience video content worldwide.   As a leader in AI and visual effects, Matt discusses how LipDub integrates advanced AI to enable real-time lip-syncing for dubbed audio, making Hollywood-quality dubbing affordable and accessible. From processing hours of video footage to handling complex, dynamic scenes, LipDub is empowering content creators to reach global audiences like never before.   We explore the challenges of creating realistic lip movements, the importance of mouth internals, textures, and fidelity, and how tools like LipDub stand apart from competitors like Rasque AI. Matt also introduces Vanity AI, LipDub's sister technology for automated digital makeup and de-aging, used by MARZ for high-end visual effects work.   Learn how LipDub is redefining the possibilities of content localization with AI and what the future holds as this technology evolves.   Don't miss this deep dive into AI-powered innovation with Matt Panousis. Like, subscribe, and hit the notification bell for more episodes exploring cutting-edge advancements in AI!   Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI     (00:00) Introduction & Matt Panousis Background (02:45) Origins of MARZ and LipDub (04:20) LipDub vs. Competitors (06:15) Integration with Dubbing Solutions (08:00) LipDub Technical Process (10:20) Competition (12:20) Time and Cost (14:00) Target Markets and Use Cases (19:00) Future Developments (22:00) Translation and Timing Challenges (28:00) Ethical Concerns and Misuse (30:30) Digital Watermarking (32:25) Real-World Examples and Future Products (34:00) Team Building and Research (37:00) Building the Advisory Board (38:10) Securing Research Talent (40:00) Funding and the Board (40:35) Future Products

This episode is sponsored by Netsuite by Oracle, the number one cloud financial system, streamlining accounting, financial management, inventory, HR, and more.   NetSuite is offering a one-of-a-kind flexible financing program. Head to  https://netsuite.com/EYEONAI to know more.  In this episode of the Eye on AI podcast, we explore the cutting-edge world of semiconductor innovation and its role in the future of artificial intelligence with Kai Beckmann, CEO of Merck KGaA.   Kai takes us on a journey into the heart of semiconductor manufacturing, revealing how next-generation chips are driving the AI revolution. From the complex process of creating advanced chips to the increasing demands of AI on semiconductor technology, Kai shares how Merck is pioneering materials science to unlock unprecedented levels of computational power.   Throughout the conversation, Kai explains how AI's growth is reshaping the semiconductor industry, with innovations like edge AI, heterogeneous integration, and 3D chip architectures pushing the boundaries of performance. He highlights how Merck is using artificial intelligence to accelerate material discovery, reduce experimentation cycles, and create smarter, more efficient processes for the chips that power everything from smartphones to data centers.   Kai also delves into the global landscape of semiconductor manufacturing, discussing the challenges of supply chains, the cyclical nature of the industry, and the rapid technological advancements needed to meet AI's demands. He explains why the semiconductor sector is entering the "Age of Materials," where breakthroughs in materials science are enabling the next wave of AI-driven devices.   Like, subscribe, and hit the notification bell to stay tuned for more episodes! Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Introduction  (02:48) Merck KGaA (05:21) Foundations of Semiconductor Manufacturing   (07:57) How Chips Are Made (09:24) Exploring Materials Science (13:59) Growth and Trends in the Semiconductor Industry   (15:44) Semiconductor Manufacturing   (17:34) AI's Growing Demands on Semiconductor Tech (20:34) The Future of Edge AI  (22:10) Using AI to Disrupt Material Discovery   (24:58) How AI Accelerates Innovation in Semiconductors   (27:32) Evolution of Semiconductor Fabrication Processes   (30:08) Advanced Techniques: Chiplets, 3D Stacking, and Beyond   (32:29) Merck's Role in Global Semiconductor Innovation   (34:03) Major Markets for Semiconductor Manufacturing   (37:18) Challenges in Reducing Latency and Energy Consumption   (40:21) Exploring New Conductive Materials for Efficiency

This episode is sponsored by Shopify.  Shopify is a commerce platform that allows anyone to set up an online store and sell their products. Whether you're selling online, on social media, or in person, Shopify has you covered on every base. With Shopify you can sell physical and digital products. You can sell services, memberships, ticketed events, rentals and even classes and lessons.   Sign up for a $1 per month trial period at http://shopify.com/eyeonai In this episode of the Eye on AI podcast, Andrew D. Feldman, Co-Founder and CEO of Cerebras Systems, unveils how Cerebras is disrupting AI inference and high-performance computing.   Andrew joins Craig Smith to discuss the groundbreaking wafer-scale engine, Cerebras' record-breaking inference speeds, and the future of AI in enterprise workflows. From designing the fastest inference platform to simplifying AI deployment with an API-driven cloud service, Cerebras is setting new standards in AI hardware innovation.   We explore the shift from GPUs to custom architectures, the rise of large language models like Llama and GPT, and how AI is driving enterprise transformation. Andrew also dives into the debate over open-source vs. proprietary models, AI's role in climate mitigation, and Cerebras' partnerships with global supercomputing centers and industry leaders.   Discover how Cerebras is shaping the future of AI inference and why speed and scalability are redefining what's possible in computing.   Don't miss this deep dive into AI's next frontier with Andrew Feldman.   Like, subscribe, and hit the notification bell for more episodes! Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Intro to Andrew Feldman & Cerebras Systems (00:43) The rise of AI inference (03:16) Cerebras' API-powered cloud (04:48) Competing with NVIDIA's CUDA (06:52) The rise of Llama and LLMs (07:40) OpenAI's hardware strategy (10:06) Shifting focus from training to inference (13:28) Open-source vs proprietary AI (15:00) AI's role in enterprise workflows (17:42) Edge computing vs cloud AI (19:08) Edge AI for consumer apps (20:51) Machine-to-machine AI inference (24:20) Managing uncertainty with models (27:24) Impact of U.S.–China export rules (30:29) U.S. innovation policy challenges (33:31) Developing wafer-scale engines (34:45) Cerebras' fast inference service (37:40) Global partnerships in AI (38:14) AI in climate & energy solutions (39:58) Training and inference cycles (41:33) AI training market competition

Launch, run, and protect your business to make it official TODAY at https://www.legalzoom.com/ and use promo code EYEONAI to get 10% off any LegalZoom business formation product excluding subscriptions and renewals.  In this episode of the Eye on AI podcast, Varun Mohan, Co-Founder and CEO of Codeium, shares the journey behind building one of the most innovative AI-powered coding tools available today.    Varun joins Craig Smith to explore the future of software development, the evolution of Codeium, and how generative AI is revolutionizing the way developers interact with codebases.    As a leader in AI and software engineering, Varun discusses how Codeium integrates advanced AI to enable real-time code completion, refactoring, and even end-to-end application building. From processing billions of lines of code to making complex legacy systems like COBOL more accessible, Codeium is empowering developers to work smarter and faster.    We delve into the challenges of managing massive codebases, the importance of maintaining security and self-hosted solutions, and how tools like Codeium stand apart from competitors like Copilot and CodeWhisperer. Varun also introduces **Cascade**, the AI assistant within Codeium's custom IDE, Windsurf, which merges human ingenuity with AI's reasoning capabilities for a seamless coding experience.   Other fascinating topics include the role of AI in onboarding developers to complex systems, its ability to handle rare programming languages, and how Codeium is reshaping the software lifecycle from design to deployment.   Learn how Codeium is redefining the possibilities of software development with AI, and what the future holds as this technology continues to evolve.    Don't miss this deep dive into AI-powered innovation with Varun Mohan. Like, subscribe, and hit the notification bell for more episodes exploring cutting-edge advancements in AI! Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Introduction to Varun Mohan and Codeium (05:32) Introducing Codeium: AI-powered coding revolution (08:42) Competing with Copilot and CodeWhisperer (11:46) Using Codeium to streamline software development (14:01) Features of Cascade: Refactoring and automation (17:26) Building applications from scratch with Codeium (22:00) Enterprise adoption and recognition by JPMorgan Chase (23:14) The pivot to Codeium and lessons learned (24:32) The vision for Codeium's future

This episode of Eye on AI is sponsored by Citrusx. Unlock reliable AI with Citrusx! Our platform simplifies validation and risk management, empowering you to make smarter decisions and stay compliant. Detects and mitigate AI vulnerabilities, biases, and errors with ease.    Visit http://email.citrusx.ai/eyeonai to download our free fairness use case and see the solution in action.     In this episode of the Eye on AI podcast, Terry Sejnowski, a pioneer in neural networks and computational neuroscience, joins Craig Smith to discuss the future of AI, the evolution of ChatGPT, and the challenges of understanding intelligence.   Terry, a key figure in the deep learning revolution, shares insights into how neural networks laid the foundation for modern AI, including ChatGPT's groundbreaking generative capabilities. From its ability to mimic human-like creativity to its limitations in true understanding, we explore what makes ChatGPT remarkable and what it still lacks compared to human cognition.   We also dive into fascinating topics like the debate over AI sentience, the concept of "hallucinations" in AI models, and how language models like ChatGPT act as mirrors reflecting user input rather than possessing intrinsic intelligence. Terry explains how understanding language and meaning in AI remains one of the field's greatest challenges.   Additionally, Terry shares his perspective on nature-inspired AI and what it will take to develop systems that go beyond prediction to exhibit true autonomy and decision-making.   Learn why AI models like ChatGPT are revolutionary yet incomplete, how generative AI might redefine creativity, and what the future holds for AI as we continue to push its boundaries.   Don't miss this deep dive into the fascinating world of AI with Terry Sejnowski. Like, subscribe, and hit the notification bell for more cutting-edge AI insights!   Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI     (00:00) Introduction to Terry Sejnowski and His Work  (03:02) The Origins of Modern AI and Neural Networks  (05:29) The Deep Learning Revolution and ImageNet  (07:11) Understanding ChatGPT and Generative AI  (12:34) Exploring AI Creativity (16:03) Lessons from Gaming AI: AlphaGo and Backgammon  (18:37) Early Insights into AI's Affinity for Language  (24:48) Syntax vs. Semantics: The Purpose of Language  (30:00) How Written Language Transformed AI Training  (35:10) Can AI Become Sentient?  (41:37) AI Agents and the Next Frontier in Automation  (45:43) Nature-Inspired AI: Lessons from Biology  (50:02) Digital vs. Biological Computation: Key Differences  (54:29) Will AI Replace Jobs? (57:07) The Future of AI

This episode is sponsored by Netsuite by Oracle, the number one cloud financial system, streamlining accounting, financial management, inventory, HR, and more.   NetSuite is offering a one-of-a-kind flexible financing program. Head to  https://netsuite.com/EYEONAI to know more.     In this episode of the Eye on AI podcast, Avthar Sewrathan, Lead Technical Product Marketing Manager at Timescale joins Craig Smith to explore how Postgres is transforming AI development with cutting-edge tools and open-source innovation.   With its robust, extensible framework, Postgres has become the go-to database for AI applications, from semantic search to retrieval-augmented generation (RAG). Avthar takes us through Timescale's journey from its IoT origins to disrupting the way developers handle vector search, embedding management, and high-performance AI workloads—all within Postgres.   We dive into Timescale's tools like PGVector, PGVector Scale, and PGAI Vectorizer, uncovering how they aid developers to build AI-powered systems without the complexity of managing multiple databases. Avthar explains how Postgres seamlessly handles structured and unstructured data, making it the perfect foundation for next-gen AI applications.   Learn how Postgres supports AI-driven use cases across industries like IoT, finance, and crypto, and why its open-source ecosystem is key to fostering collaboration and innovation.    Tune in to discover how Postgres is redefining AI databases, why Timescale's tools are a game-changer for developers, and what the future holds for AI innovation in the database space.   Don't forget to like, subscribe, and hit the notification bell for more AI insights!      Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Introduction to Avthar and Timescale (02:35) The origins of Timescale and TimescaleDB (05:06) What makes Postgres unique and reliable (07:17) Open-source philosophy at Timescale (12:04) Timescale's early focus on IoT and time series data (16:17) Applications in finance, crypto, and IoT (19:03) Postgres in AI: From RAG to semantic search (22:00) Overcoming scalability challenges with PGVector Scale (24:33) PGAI Vectorizer: Managing embeddings seamlessly (28:09) The PGAI suite: Tools for AI developers (30:33) Vectorization explained: Foundations of AI search (32:24) LLM integration within Postgres (35:26) Natural language interfaces and database workflows (38:11) Structured and unstructured data in Postgres (41:17) Postgres for everything: Simplifying complexity (44:52) Timescale's accessibility for startups and enterprises (47:46) The power of open source in AI

This episode is sponsored by Oracle. Oracle Cloud Infrastructure, or OCI is a blazing fast and secure platform for your infrastructure, database, application development, plus all your AI and machine learning workloads. OCI costs 50% less for compute and 80% less for networking. So you're saving a pile of money. Thousands of businesses have already upgraded to OCI, including MGM Resorts, Specialized Bikes, and Fireworks AI.   Cut your current cloud bill in HALF if you move to OCI now:  https://oracle.com/eyeonai     In this episode of the Eye on AI podcast, Jeff Boudier, Head of Product and Growth at Hugging Face, joins Craig Smith to uncover how the platform is empowering AI builders and driving the open-source AI revolution.   With a mission to democratize AI, Jeff walks us through Hugging Face's journey from a chatbot for teens to the leading platform hosting over 1 million public AI models, datasets, and applications. We explore how Hugging Face is bridging the gap between enterprises and open-source innovation, enabling developers to build cutting-edge AI solutions with transparency and collaboration.   Jeff dives deep into Hugging Face's tools and features, from hosting private and public models to fostering a thriving ecosystem of AI builders. He shares insights on the transformative impact of technologies like Transformers, transfer learning, and no-code solutions that make AI accessible to more creators than ever before.   We also discuss Hugging Face's latest innovation, 'Hugs,' designed to help enterprises seamlessly integrate open-source AI within their infrastructure while retaining full control over their data and models.   Tune in to discover how Hugging Face is shaping the future of AI development, why open-source models are catching up with proprietary ones, and what trends are driving innovation across AI disciplines.   Don't forget to like, subscribe, and hit the notification bell for more!     Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI     (00:00) Introduction to Jeff Boudier (02:16) How Hugging Face Empowers AI Builders (05:26) Transition from Chatbot to Leading AI Platform (07:07) Hosting AI Models: Public and Private Options (10:13) What Does Hosting Models on Hugging Face Mean? (14:22) Hugging Face vs. GitHub: Key Differences (19:09) Navigating 1 Million Models on the Hugging Face Hub (22:33) Leaderboards and Filtering AI Models (25:26) Building Applications with Hugging Face Models (28:03) AI Innovation: From Code to Model-Driven Development (30:45) Frameworks for Agentic Systems and Hugging Chat (35:20) Open Source vs. Proprietary AI: The Future (40:41) Introducing 'Hugs': Open AI for Enterprises (44:59) The Role of No-Code in AI Development (47:26) Hugging Face's Vision

This episode is sponsored by Legal Zoom.  Launch, run, and protect your business to make it official TODAY at https://www.legalzoom.com/ and use promo code Smith10 to get 10% off any LegalZoom business formation product excluding subscriptions and renewals. In this episode of the Eye on AI podcast, we dive into the world of Artificial General Intelligence (AGI) with Ben Goertzel, CEO of SingularityNET and a leading pioneer in AGI development.   Ben shares his vision for building machines that go beyond task-specific capabilities to achieve true, human-like intelligence. He explores how AGI could reshape society, from revolutionizing industries to redefining creativity, learning, and autonomous decision-making.    Throughout the conversation, Ben discusses his unique approach to AGI, which combines decentralized AI systems and blockchain technology to create open, scalable, and ethically aligned AI networks. He explains how his work with SingularityNET aims to democratize AI, making AGI development transparent and accessible while mitigating risks associated with centralized control.   Ben also delves into the philosophical and ethical questions surrounding AGI, offering insights into consciousness, the role of empathy, and the potential for building machines that not only think but also align with humanity's best values. He shares his thoughts on how decentralized AGI can avoid the narrow, profit-driven goals of traditional AI and instead evolve in ways that benefit society as a whole.   This episode offers a thought-provoking glimpse into the future of AGI, touching on the technical challenges, societal impact, and ethical considerations that come with creating truly intelligent machines.   Ben's perspective will leave you questioning not only what AGI can achieve, but also how we can guide it toward a positive future.   Don't forget to like, subscribe, and hit the notification bell to stay tuned for more!     Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI     (00:00) Introduction to Ben Goertzel (01:21) Overview of "The Consciousness Explosion"  (02:28) Ben's Background in AI and AGI (04:39) Exploring Consciousness and AI (08:22) Panpsychism and Views on Consciousness (10:32) The Path to the Singularity (13:28) Critique of Modern AI Systems (18:30) Perspectives on Human-Level AI and Creativity (21:42) Ben's AGI Paradigm and Approach (25:39) OpenCog Hyperon and Knowledge Graphs (31:12) Integrating Perception and Experience in AI (34:02) Robotics in AGI Development (35:06) Virtual Learning Environment for AGI (39:01) Creativity in AI vs. Human Intelligence (44:21) User Interaction with AGI Systems (48:22) Funding AGI Research Through Cryptocurrency (53:03) Final Thoughts on Compassionate AI (55:21) How to Get "The Consciousness Explosion" Book

This episode of the Eye on AI podcast is sponsored by JLL. JLL's AI solutions are transforming the real estate landscape, accelerating growth, streamlining operations and unlocking hidden value in properties and portfolios. From predictive analytics to intelligent automation, JLL is creating smarter buildings, more efficient workplaces and sustainable cities. To learn more about JLL and AI, visit: jll.com/AI     In this episode of the *Eye on AI* podcast, we explore the world of AI at Google Cloud with Nenshad Bardoliwalla, Director of Product Management for Vertex AI.   Nenshad unpacks the three core layers of Vertex AI: the Model Garden, where users can access and evaluate a diverse range of models; the Model Builder, which supports model fine-tuning and prompt optimization; and the Agent Builder, designed to develop AI agents that can perform complex, goal-oriented tasks.   He shares insights into model evaluation strategies, the role of Google's Tensor Processing Units (TPUs) in scaling AI infrastructure, and how enterprises can choose the right models based on performance, cost, and regulatory requirements.   Nenshad also delves into the challenges and opportunities of AI prompt optimization, highlighting Google's approach to ensuring consistent outputs across different models. He discusses the ethical considerations in AI design, emphasizing the need for human oversight and clear guardrails to maintain safety.   Whether you're in AI, tech, or curious about AI's potential impact, this episode is packed with insights on next-gen AI deployment.   Don't forget to like, subscribe, and turn on notifications for more episodes!     Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Introduction to Nenshad Bardoliwalla & Vertex AI (01:52) Overview of Vertex AI's Three Core Layers (05:35) Nenshad's Journey to Google Cloud (06:36) Choosing the Right AI Model (08:00) Google's AI Infrastructure & Tensor Processing Units (TPUs) (10:15) Model Builder: Fine-Tuning & Prompt Optimization (12:11) Agent Builder: Building AI Agents with Tools & Planning (17:57) Model Evaluation & Prompt Management (21:23) Generative AI for Business Analysts (23:24) AI Model Modality & Use Case Selection (25:23) Popularity Distribution of AI Models (28:18) Prompt Optimization Tools (34:20) Building AI Agents: Real-World Use Cases & Ethical Safeguards (40:13) The Capabilities & Limitations of AI Agents (45:48) TPU vs. GPU (50:33) Future of AI at Google Cloud

This episode of Eye on AI is sponsored by Citrusx. Navigating the complexities of AI risk management? Citrusx has you covered. Their innovative platform helps you make better business decisions and achieve reliable AI outcomes while staying compliant with regulatory standards. Citrusx enables you to manage AI risks effortlessly, connecting all stakeholders and providing continuous validation. Their solution can detect and mitigate vulnerabilities, biases, and errors, ensuring the accuracy, robustness, and compliance of AI models Visit https://email.citrusx.ai/eyeonai to book your free demo today! In this episode of the Eye on AI podcast, we dive into process intelligence with Manuel Haug, Field CTO at Celonis.   Manuel shares how process mining is transforming business operations by connecting directly to digital systems to map workflows, optimize processes, and boost efficiency. He explains how Celonis builds digital twins of business processes, allowing companies to visualize and resolve inefficiencies with data-driven insights.   Manuel also explores the role of AI in process optimization, discussing the integration of generative AI and AI agents in Celonis. From automating repetitive tasks to enabling strategic decision-making, Manuel details how AI agents can enhance workflows, reduce costs, and deliver measurable productivity gains across industries.   Tune in to learn how AI agents are evolving, the potential of process intelligence graphs, and how Celonis is pioneering the future of autonomous enterprises.   Whether you're in business, tech, or curious about the impact of AI, this episode offers valuable insights into next-gen process optimization.   Don't forget to like, subscribe, and turn on notifications for more episodes on AI, automation, and digital transformation!       Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI     (00:00) Introduction to Manuel Haug & Celonis (01:07) Understanding Process Intelligence (07:14) Integrating AI into Process Mining (12:12) Generative AI's Role in Process Optimization (15:18) Challenges of Large-Scale Process Integration (20:24) Role of AI Agents in Process Automation (23:43) AI Maturity & Implementation in Enterprises (27:23) Real-Life AI Agent Examples (30:47) Building and Integrating AI Agents (34:53) Future of AI Agents in Enterprises (37:56) Introducing the Process Intelligence Graph (39:20) Addressing Data Privacy Concerns

This episode is sponsored by RapidSOS. Close the safety gap and transform your emergency response with RapidSOS. Visit https://rapidsos.com/eyeonai/ today to learn how AI-powered safety can protect your people and boost your bottom line.     In this episode of the Eye on AI podcast, we dive deep into the world of AI agents with Ece Kamar, VP of Research and Managing Director of AI Frontiers Lab at Microsoft.   Ece shares her unique insights on the future of AI, discussing how AI agents are reshaping the way we interact with technology and perform tasks.   Throughout the episode, Ece explains the groundbreaking potential of AI agents, describing how they act as autonomous entities that can perceive, learn, and carry out complex tasks in real time. She discusses the revolutionary shift from traditional AI models to agentic workflows, highlighting how multi-agent systems like Microsoft's AutoGen are creating scalable solutions for industries and everyday life. Ece also shares her thoughts on building responsible AI, touching on the ethical challenges and safety concerns that come with the rise of autonomous agents.   We explore how multi-agent systems can scale to millions of agents, and how they are transforming enterprises by automating complex workflows, personalizing customer experiences, and pushing the boundaries of AI development. Ece's perspective on the future of AI in scientific discovery, as well as her work in responsible AI, offers a thought-provoking glimpse into what lies ahead.   Don't forget to like, subscribe, and hit the notification bell to stay updated on the latest in AI, automation, and ethical tech!     Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI     (00:00) Preview and Introduction (03:11) What Are AI Agents? (04:43) Building Responsible AI at Microsoft (10:55) The Rise of Agentic Workflows (12:30) Multi-Agent Systems and AutoGen (18:04) Scaling Multi-Agent Systems (20:22) The Creation and Evolution of AutoGen (23:07) Real-World Applications of AutoGen (25:52) Large-Scale Simulations with AI Agents (27:36) The Role of AI Agents in Scientific Discovery (31:20) AI Agents and Complex Reasoning (36:49) Challenges in Defining Agent Boundaries (39:12) The Risk of Agents Interacting with Each Other (43:59) Building Trustworthy and Safe AI Agents (48:44) Learning from Human Factors in Automation (50:50) Why Speed and Coordination Matter in AI Development (55:08) The Future of AI Agents in Enterprises (57:47) Low-Code/No-Code Development for AI Agents

This episode is sponsored by Oracle. AI is revolutionizing industries, but needs power without breaking the bank. Enter Oracle Cloud Infrastructure (OCI): the one-stop platform for all your AI needs, with 4-8x the bandwidth of other clouds. Train AI models faster and at half the cost. Be ahead like Uber and Cohere.   If you want to do more and spend less like Uber, 8x8, and Databricks Mosaic - take a free test drive of OCI at https://oracle.com/eyeonai     In this episode of the Eye on AI podcast, we sit down with Mark Surman, President of Mozilla, to explore the future of open-source AI and how Mozilla is leading the charge for privacy, transparency, and ethical technology.   Mark shares Mozilla's vision for AI, detailing the company's innovative approach to building trustworthy AI and the launch of Mozilla AI. He explains how Mozilla is working to make AI open, accessible, and secure for everyone—just as it did for the web with Firefox. We also dive into the growing importance of federated learning and AI governance, and how Mozilla Ventures is supporting groundbreaking companies like Flower AI.   Throughout the conversation, Mark discusses the critical need for open-source AI alternatives to proprietary models like OpenAI and Meta's LLaMA. He outlines the challenges with closed systems and highlights Mozilla's work in giving users the freedom to choose AI models directly in Firefox.   Mark provides a fascinating look into the future of AI and how open-source technologies can create trillions in economic value while maintaining privacy and inclusivity. He also sheds light on the global race for AI innovation, touching on developments from China and the impact of public AI funding.   Don't forget to like, subscribe, and hit the notification bell to stay up to date with the latest trends in AI, open-source tech, and machine learning!     Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI   (00:00) Introduction to Mark Surman and Mozilla's Mission (02:01) The Evolution of Mozilla: From Firefox to AI (04:40) Open-Source Movement and Mozilla's Legacy (06:58) The Role of Open-Source in AI (11:06) Advancing Federated Learning and AI Governance (14:10) Integrating AI Models into Firefox (16:28) Open vs Closed Models (22:09) Partnering with Non-Profit AI Labs for Open-Source AI (25:08) How Meta's Strategy Compares to OpenAI and Others (27:58) Global Competition in AI Innovation (31:17) The Cost of Training AI Models (33:36) Public AI Funding and the Role of Government (37:40) The Geopolitics of AI and Open Source (41:35) Mozilla's Vision for the Future of AI and Responsible Tech

This episode is sponsored by Speechmatics. Check it out at www.speechmatics.com/realtime   Today, we're joined by Dr. Thomas G. Dietterich, a pioneer in machine learning who recently was honored with the Award for Research Excellence from the International Joint Conference on Artificial Intelligence, one of the top awards for AI researchers.   Dietterich traces the field's progression from early rule-based systems to modern machine learning paradigms and delves into his work on novel category detection and open set problems. He also discusses the evolution of ensemble methods in the context of large language models (LLMs), highlighting the shift from combining many cheap models to more selective approaches with expensive models.   He advocates for a foundation model approach to capture the variability of the world.   Join us for a deep dive into the future of AI, where Thomas explains why the development of novel materials and drugs may have the most transformative impact on our economy. Plus, hear about his latest work on multi-instance learning, weak supervision, and the role of reinforcement learning in real-world applications like wildfire management.   Don't forget to like, subscribe, and hit the notification bell to stay updated on the latest trends and insights in AI and machine learning!     Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI     (00:00) Introduction to Thomas Dietterich's Machine Learning Journey (02:34) The Early Days of Machine Learning and AI Systems (04:29) Tackling the Multiple Instance Problem in Drug Design (05:41) AI in Sustainability (07:17) The Challenge of Novelty Detection in AI Systems (08:00) Addressing the Open Set Problem in Cybersecurity and Computer Vision (09:11) The Evolution of Deep Learning in Computer Vision (11:21) How Deep Learning Handles Novel Representations (12:01) Foundation Models and Self-Supervised Learning (14:11) Vision Transformers vs. Convolutional Neural Networks (16:05) The Role of Multi-Instance Learning in Weakly Labeled Data (18:36) Ensemble Learning and Deep Networks in Machine Learning (20:33) The Future of AI: Large Language Models and Their Applications (23:51) Symbolic Regression and AI's Role in Scientific Discovery (34:44) AI in Wildfire Management: Using Reinforcement Learning (39:32) AI-Driven Problem Formulation and Optimization in Industry (41:30) The Future of AI Reasoning Systems and Problem Solving (45:03) The Limits of Large Language Models in Scientific Research (50:12) Closing Thoughts: Open Challenges and Opportunities in AI

This episode is sponsored by Netsuite by Oracle, the number one cloud financial system, streamlining accounting, financial management, inventory, HR, and more. NetSuite is offering a one-of-a-kind flexible financing program. Head to https://netsuite.com/EYEONAI to know more.   In this episode of the Eye on AI podcast, we dive into the world of quantum consciousness with Stuart Hameroff, a pioneer in the field of consciousness studies and co-developer of the controversial Orch OR theory.   Stuart Hameroff takes us on a journey through the intersection of quantum mechanics and the human mind, explaining how microtubules within neurons could be the key to unlocking the mysteries of consciousness.   Stuart delves into his work with physicist Roger Penrose, where they propose that consciousness arises from quantum processes in the brain, deeply embedded in the fabric of spacetime itself. We explore how this theory challenges mainstream neuroscience, which often reduces the mind to simple neural activity, and instead suggests that consciousness may have a profound connection to the universe's underlying structure.   Throughout the conversation, Stuart addresses the debate over AI consciousness, asserting that true conscious experience cannot arise from mere computation but requires quantum processes. He shares insights on the latest experiments in anesthesia and quantum biology, offering a fresh perspective on how the brain might function on a deeper, quantum level.   Join us as we unpack the groundbreaking Orch OR theory and what it could mean for the future of science, technology, and our understanding of reality.   Don't forget to like, subscribe, and hit the notification bell to stay updated on the latest cutting-edge discussions in AI, quantum theory, and consciousness research!     Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI     (00:00) Preview (03:26) Consciousness and Dualism vs. Materialism (04:51) Anesthesia and Consciousness: Hameroff's Perspective (07:30) Roger Penrose's Perspective on Consciousness (09:51) Penrose's Explanation of Quantum Superposition (12:52) The Collapse of Quantum Superposition and Consciousness (14:41) Microtubules and Their Role in Consciousness (17:08) Critique of Current Neuroscience Approaches (22:28) Discovering the Microtubule's Role in Information Processing (26:08) Microtubules as Cellular Automata (28:48) The Role of Frohlich Coherence in Quantum Biology (31:27) Meeting Roger Penrose and Connecting with His Work (33:52) Collaboration with Penrose: Developing the Theory (37:05) Challenges and Criticisms of the Theory (43:06) Advances in Quantum Consciousness Research (46:18) Hierarchical Models in the Brain (51:10) Entanglement and Consciousness (55:03) The Mystery of Anesthesia's Selective Impact on Consciousness (57:07) Quantum Effects and Anesthesia's Mechanism (01:00:22) The Search for Anesthesia's Target Protein (01:04:30) Experimental Evidence for Quantum Effects in Biology (01:09:33) Consciousness as a Quantum Physical Effect

This episode is sponsored by Bloomreach. Bloomreach is a cloud-based e-commerce experience platform and B2B service specializing in marketing automation, product discovery, and content management systems.   Check out Bloomreach: https://www.bloomreach.com Explore Loomi AI: https://www.bloomreach.com/en/products/loomi Other Bloomreach products: https://www.bloomreach.com/en/products     In this episode of the Eye on AI podcast, we sit down with Pedro Domingos, professor of computer science and author of The Master Algorithm and 2040, to dive deep into the future of artificial intelligence, machine learning, and AI governance.   Pedro shares his expertise in AI, offering a unique perspective on the real dangers and potential of AI, far from the apocalyptic fears of superintelligence taking over. We explore his satirical novel, 2040, where an AI candidate for president—Prezibot—raises questions about control, democracy, and the flaws in both AI systems and human decision-makers.   Throughout the episode, Pedro sheds light on Silicon Valley's utopian dreams clashing with its dystopian realities, highlighting the contrast between tech innovation and societal challenges like homelessness. He discusses how AI has already integrated into our daily lives, from recommendation systems to decision-making tools, and what this means for the future.   We also unpack the ongoing debate around AI safety, the limits of current AI models like ChatGPT, and why he believes AI is more of a tool to amplify human intelligence rather than an existential threat. Pedro offers his insights into the future of AI development, focusing on how symbolic AI and neural networks could pave the way for more reliable and intelligent systems.   Don't forget to like, subscribe, and hit the notification bell to stay updated on the latest insights into AI, machine learning, and tech culture.   Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI     (00:00) Preview and Introduction (01:06) Pedro's Background and Contributions to AI (03:36) The Satirical Take on AI in '2040' (05:42) AI Safety Debate: Geoffrey Hinton vs. Yann LeCun (08:06) Debunking AI's Real Risks (12:45) Satirical Elements in '2040': HappyNet and Prezibot (17:57) AI as a Decision-Making Tool: Potential and Risks (22:55) The Limits of AI as an Arbiter of Truth (27:35) Crowdsourced AI: PreziBot 2.0 and Real-Time Decision Making (29:54) AI Governance and the Kill Switch Debate (37:42) Integrating AI into Society: Challenges and Optimism (47:11) Pedro's Current Research and Future of AI (55:17) Scaling AI and the Future of Reinforcement Learning

In this episode of the Eye on AI podcast, Craig Smith sits down with Bill Moore BCGX to explore the development of Gene, an AI-powered co-host transforming the way we engage with conversational AI.   Bill walks us through the journey of creating Gene, a real-time conversational agent built to interact seamlessly with human hosts. He shares insights into the technical challenges they faced, from improving latency to expanding context windows, and how Speechmatics' cutting-edge speech-to-text technology helped achieve over 90% accuracy in real-time.   We dive deep into the ethics of AI, particularly gender representation, as the conversation touches on why assigning gender to AI assistants can reinforce outdated stereotypes. Gene, as a gender-neutral conversational AI, challenges these norms, providing a clear distinction between human-like interaction and AI-driven dialogue.   Join us for an in-depth discussion on the future of AI in media, the balance between human creativity and AI's analytical power, and the ethical considerations every company should be mindful of when integrating AI into their operations.   Don't forget to like, subscribe, and hit the notification bell for more deep dives into AI innovation, ethics, and the future of conversational agents!   Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI   (00:00) Introduction to Gene: BCG's Conversational AI (02:19) Bill Moore's Background (04:22) Early Challenges in Building Real-Time AI (07:20) Technical Aspects: Prompting and Configuring Gene (09:28) The Use of Vector Databases and Sparse Priming (12:01) How Gene Handles Long Conversations (14:46) Building Conversational AI (19:07) Gene Introduces Itself: AI as a Podcast Co-Host (22:00) The Ethics of AI (29:35) Should AI Have a Physical Representation? (32:05) AI and Children: Nurturing Healthy Interactions (36:16) Adoption of Conversational AI in Businesses (38:11) Ethical Considerations for AI in the Future

This episode is sponsored by Shopify. Shopify is a commerce platform that allows anyone to set up an online store and sell their products. Whether you're selling online, on social media, or in person, Shopify has you covered on every base. With Shopify you can sell physical and digital products. You can sell services, memberships, ticketed events, rentals and even classes and lessons.   Sign up for a $1 per month trial period at http://shopify.com/eyeonai     In this episode of the Eye on AI podcast, Craig Smith sits down with Michael Martin, CEO of RapidSOS, to explore how AI and connected devices are aiding emergency response and public safety.   With billions of sensor feeds from over 540 million devices—including wearables, vehicles, and security systems—RapidSOS integrates life-saving data to provide real-time support for 911 and first responders across the U.S. and beyond. Michael shares how their platform is reducing response times, improving accuracy, and transforming the way emergencies are handled by public safety agencies.   We dive deep into RapidSOS's AI-powered platform, which fuses human and machine intelligence to deliver faster, more effective emergency responses. Michael also discusses the challenges of scaling such technology globally, the role of AI in predictive emergency management, and the importance of integrating these solutions into legacy systems used by first responders.   Whether it's saving lives through faster 911 responses, preventing emergencies before they happen, or leveraging AI to enhance public safety, this episode offers a compelling look at the future of emergency services. Join us to uncover how technology is reshaping public safety and emergency response on a global scale.   Don't forget to like, subscribe, and hit the notification bell for more cutting-edge discussions on AI, emergency services, and technology innovation!   Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI     (00:00) Preview (01:58) RapidSOS and Michael Martin's Journey (06:39) Integration w/ Wearable Devices and Home Systems (11:59) RapidSOS's Use Cases (23:12) RapidSOS' Foundational Models (31:31) How RapidSOS Handles Data (36:11) How RapidSOS Aids Public Safety (49:56) Is RapidSOS Integrated into Hospitals? (53:00) EmergencyProfile.org Role In Helping First Responders (55:36) The Future of Public Safety with AI and RapidSOS

This episode is sponsored by Oracle. AI is revolutionizing industries, but needs power without breaking the bank. Enter Oracle Cloud Infrastructure (OCI): the one-stop platform for all your AI needs, with 4-8x the bandwidth of other clouds. Train AI models faster and at half the cost. Be ahead like Uber and Cohere.   If you want to do more and spend less like Uber, 8x8, and Databricks Mosaic - take a free test drive of OCI at https://oracle.com/eyeonai     In this episode of the Eye on AI podcast, Craig Smith sits down with Noa Srebrnik from Citrusx to explore how AI is transforming risk management and compliance in high-risk industries like finance and insurance.   With a background spanning regulation, risk, and technology, Noa guides us through Citrusx's innovative approach to enabling organizations to leverage AI responsibly while adhering to complex regulatory environments.   We dive deep into Citrusx's AI platform, designed to validate, monitor, and explain AI models, ensuring transparency, fairness, and compliance. Noa explains how their proprietary synthetic data technology identifies hidden risks, allowing companies to confidently scale AI solutions across different use cases without compromising governance.   We also discuss the evolving regulatory landscape, including the challenges of navigating fragmented AI regulations in the U.S. and the EU AI Act's influence on high-risk sectors.   Join us as we uncover how AI can drive innovation while maintaining regulatory accountability and why risk management is crucial for the future of AI in finance and beyond.   Don't forget to like, subscribe, and hit the notification bell for more in-depth discussions on AI, regulation, and risk management!   Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI

This episode is sponsored by Netsuite by Oracle, the number one cloud financial system, streamlining accounting, financial management, inventory, HR, and more. NetSuite is offering a one-of-a-kind flexible financing program. Head to  https://netsuite.com/EYEONAI to know more.     In this episode of the Eye on AI podcast, Craig Smith sits down with Krishna Rangasayee, CEO of SiMa.ai, to explore the innovations in AI at the edge and how embedded systems are transforming industries like robotics, automotive, and industrial automation.   Krishna brings over 30 years of experience in software and silicon design, leading us through SiMa.ai's vision of disrupting edge computing with their Machine Learning System on Chip (MLSoC).   We dive deep into how SiMa.ai's chips are designed to accelerate AI workloads at the edge, providing unmatched performance and efficiency compared to cloud-based solutions.   We also discuss the future of AI hardware, including the role of open-source platforms, the challenges of scaling AI in embedded systems, and why the edge market is poised to outgrow the cloud in the coming years.   Krishna shares his insights on the importance of AI software architecture, how SiMa.ai's platform simplifies integration for developers, and the emerging potential of neuromorphic and quantum computing.   Join us as we delve into the next big AI gold rush, the edge market, and learn why AI-powered edge devices will reshape the way industries operate.   Don't forget to like, subscribe, and hit the notification bell for more exclusive insights into the future of AI and edge computing!   Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI   (00:00) Preview and Introduction (02:13) SiMa.ai's Focus on Chip Design for the Edge (05:38) How is SiMa.ai Different from NVIDIA's CUDA? (08:29) The Evolution of Chip Architecture (11:50) AI's Move to the Edge Market? (19:19) Industries Driving Demand for SiMa.ai's Technology (21:25) How Do Edge Applications Work? (25:09) Chips Design for Edge Devices (33:01) SiMa.ai Scaling Plans (36:12) What is SiMa.ai Focusing On in the Future? (40:30) SiMa.ai's Fundraising Journey (42:57) Hiring and Retaining Top Talent in the Industry (46:01) The Future of Chip Technology

This episode is sponsored by Bloomreach.  Bloomreach is a cloud-based e-commerce experience platform and B2B service specializing in marketing automation, product discovery, and content management systems.   Check out Bloomreach: https://www.bloomreach.com Explore Loomi AI: https://www.bloomreach.com/en/products/loomi Other Bloomreach products: https://www.bloomreach.com/en/products In this episode of the Eye on AI podcast, we sit down with Randall Degges, Head of Developer Relations and Security at Snyk, to uncover the impact of AI on cybersecurity and software development.   Randall shares his 20+ years of experience as a software developer and security expert, leading us through Snyk's innovative approach to developer security. We dive into how Snyk is changing vulnerability detection and code generation by leveraging a hybrid AI model—combining symbolic AI for accurate detection and generative AI for smart fixes.   We explore the challenges and opportunities of using AI in code security, discussing whether AI-generated code can ever fully replace human coders or if it's best suited as a powerful tool in a developer's arsenal. Randall also addresses the risks of AI hallucinations in code generation and how Snyk mitigates these through rigorous testing and validation.   Join us as we discuss the future of coding, the role of AI in software development, and how developers can stay ahead in this rapidly evolving landscape.    Don't forget to like, subscribe, and hit the notification bell for more expert insights into the latest AI and cybersecurity trends. Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Preview and Intro (00:34) Randall Degges Background (01:33) The Role of AI in Security at Snyk (03:28) Symbolic vs. Generative AI in Code Security (04:57) How Snyk Uses Rule-Based AI for Detection (06:48) Challenges with AI-Generated Code Fixes (09:08) The Future of AI in Code Generation (11:56) Integrating AI with Developer Tools (16:06) Risks of AI-Generated Code and Internet Saturation (22:25) The Hybrid AI Approach for Code Security (26:31) Future of AI and Its Impact on Developers (30:02) Snyk's Integration with IDEs and Research Initiatives (33:48) Autonomous Fixes and the Future of AI in Development (41:04) DeepCode AI Fix Engine and Snyk's ID Plugin (46:38) Will AI Replace Developers? (50:16) AI Readiness Report Insights (52:59) Tech Layoffs and Opportunities in AI

In this episode of the Eye on AI podcast, we sit down with Peter Guagenti, President and Chief Marketing Officer at Tabnine, to explore the role of AI in software development.   Peter takes us through his journey from web developer and engineering lead to leading Tabnine, a pioneer of AI code assistance.   We delve into the innovative ways Tabnine is pushing the boundaries of AI, from enhancing code generation to ensuring privacy with its Protected Model—offering enterprises fully private AI solutions tailored to their specific needs. Peter discusses how Tabnine is addressing the challenges of fit-to-purpose AI, making AI tools more context-aware and personalized to the workflows of individual engineering teams.   Peter also sheds light on the future of AI in software development, addressing the pressing question: Can AI truly replace developers, or is it destined to be a powerful collaborator?   Learn how AI can elevate software engineering teams, helping them overcome the repetitive tasks that slow down progress and focus on the creative aspects that push the industry forward.   Don't forget to like, subscribe, and hit the notification bell for more in-depth conversations on the latest AI advancements.     This episode of Eye on AI  is sponsored by BetterHelp. If you're thinking of starting therapy, give BetterHelp a try. It's entirely online. Designed to be convenient, flexible, and suited to your schedule. Just fill out a brief questionnaire to get matched with a licensed therapist, and switch therapists any time for no additional charge. Visit https://www.betterhelp.com/eyeonai today to get 10% off your first month.     Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI     (00:00) Preview and Introduction (00:38) Peter Guagenti's Background (01:20) Tabnine's Origins (03:49) Innovating in AI Code Assistance (05:10) The Path to Autonomous Code Generation (07:49) Human Oversight in Autonomous AI (10:17) Misconceptions About AI Replacing Engineers (14:15) Future of Software Development with AI (17:04) Autonomous JIRA Tool and Broader Applications (22:36) Leveraging Vector Databases for Context (27:34) Balancing Contextual Data for AI (29:54) Expanding Generative AI Use Cases (34:16) Ensuring Code Quality with AI (37:17) Curating Quality Data for AI Models (41:17) The Need for Skilled Coders in AI (42:59) Future of Generative AI Beyond LLMs (47:00) Case Studies: Tabnine's Impact on Productivity (51:49) Conclusion: Building Trust in AI Technology

Check our BloomReach: https://www.bloomreach.com Explore Loomi AI: https://www.bloomreach.com/en/products/loomi Other BloomReach products: https://www.bloomreach.com/en/products     In this episode of the Eye on AI podcast, we sit down with Xun Wang, Chief Technology Officer at Bloomreach, to explore the power of AI in the world of e-commerce.   Xun takes us on a journey through his career, from his early days at NVIDIA, where he played a pivotal role in the evolution of parallel computing and GPU technology, to his current leadership at Bloomreach, a company at the forefront of AI-driven commerce solutions.   He shares how Bloomreach is disrupting the e-commerce landscape with its AI-powered platform, helping brands and retailers enhance customer experiences through personalized search and recommendations.   We dive deep into the technical side of Bloomreach's AI services, including Loomi AI, which integrates various AI capabilities such as search, recommendations, and segmentation. Xun explains how these services work together to deliver highly personalized shopping experiences that boost engagement and conversion rates.   Xun sheds light on the company's innovative use of generative AI and large language models to improve search relevance and personalization, offering listeners a glimpse into the future of e-commerce.   Tune in to discover how Bloomreach is leveraging cutting-edge AI technologies like two-tower neural networks and their Customer Data Engine (CDE) to redefine the online shopping experience.   Join us as we explore the intersection of AI and commerce, and learn how Bloomreach is setting new standards for personalized online experiences.   Don't forget to like, subscribe, and hit the notification bell for more deep dives into the latest AI innovations.     This episode is sponsored by Netsuite by Oracle, the number one cloud financial system, streamlining accounting, financial management, inventory, HR, and more. NetSuite is offering a one-of-a-kind flexible financing program. Head to  https://netsuite.com/EYEONAI to know more.   Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI

In this episode of the Eye on AI podcast, we explore the cutting-edge intersection of AI and biotechnology with Raphael Townshend, founder and CEO of Atomic AI.   Raphael delves into the revolutionary potential of AI in RNA drug discovery, highlighting Atomic AI's innovative approach. He shares his journey from studying electrical engineering and computer science at UC Berkeley to developing advanced AI models for understanding RNA structures, analogous to DeepMind's AlphaFold for proteins.   We dive deep into the intricacies of RNA's role in the human genome and its untapped potential in treating diseases previously considered undruggable. Raphael explains how Atomic AI's core model, Atom 1, is designed to predict RNA shapes with unprecedented accuracy, enabling the design of new drugs that target RNA instead of proteins. He discusses the significance of RNA in the context of mRNA vaccines, particularly the COVID-19 vaccine, and the challenges of making these vaccines more stable and accessible.   The conversation also covers the technical aspects of using AI, including transformer-based models and in-house data generation, to enhance RNA drug discovery. Raphael shares insights into the company's progress, from cell testing to upcoming animal trials, and the broader implications of integrating AI in biotechnology.   Join us as we uncover the future of RNA-based therapies, the innovative use of AI in drug discovery, and the groundbreaking advancements that could transform the landscape of medicine. Don't forget to like, subscribe, and hit the notification bell for more expert insights into the latest AI innovations.     This episode is sponsored by SysAid, the Next-gen ITSM Platform.   Get 20% off SysAid Copilot using this link: https://www.sysaid.com/lp/sysaid-copilot-s?utm_source=youtube&utm_medium=cpc&utm_campaign=short-craig Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI

In this episode of the Eye on AI podcast, we dive into the world of AI forecasting with Danny Halawi, a PhD student at UC Berkeley.   Danny shares his groundbreaking research on using large language models (LLMs) to predict future events with accuracy, rivaling human forecasters and prediction markets.   Danny recounts his journey from studying computer security and fraud detection to exploring the potential of AI in forecasting geopolitical events and beyond. He introduces us to the sophisticated architecture of his AI system, which leverages real-time data from prediction markets and advanced machine learning techniques to generate reliable forecasts.   We explore the complexities of judgmental forecasting versus time series forecasting and how AI can enhance decision-making in various fields. Danny discusses the challenges of training AI models for high-stakes predictions, the role of super forecasters, and the fascinating dynamics of prediction markets. He also sheds light on the ethical considerations and future possibilities of integrating AI into our decision-making processes.   Join us as we delve into the future of AI forecasting, the potential of superhuman predictions, and the exciting developments that could reshape our understanding of the future. Don't forget to like, subscribe, and hit the notification bell for more expert insights into the latest AI innovations.     This episode is sponsored by Oracle. AI is revolutionizing industries, but needs power without breaking the bank. Enter Oracle Cloud Infrastructure (OCI): the one-stop platform for all your AI needs, with 4-8x the bandwidth of other clouds. Train AI models faster and at half the cost. Be ahead like Uber and Cohere.   If you want to do more and spend less like Uber, 8x8, and Databricks Mosaic - take a free test drive of OCI at https://oracle.com/eyeonai Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Preview and Introduction (01:28) The Importance of AI (02:50) Danny's Background and Interest in AI (04:01) Automated AI Forecasting and Safety Implications (07:34) Judgmental Forecasting Explained (11:01) Accuracy and Challenges in Prediction Markets (16:01) Aggregating Predictions for Better Accuracy (19:25) Data Collection and Model Accuracy (23:18) Improving Model Accuracy Over Time (25:31) Data Sources and Model Training (29:20) Summarizing Information for Predictions (34:08) Potential of Reinforcement Learning in Forecasting (37:50) Automating Information Collection and Summarization (39:01) Training the Model for Accurate Predictions (45:04) Challenges with Uncertain Predictions (50:14) Potential Applications and Future Directions (52:26) The Future of AI Forecasting and Its Impact

In this episode of the Eye on AI podcast, we explore the forefront of voice-powered AI technology with Trevor Back, Chief Product Officer at Speechmatics. Discover how Speechmatics is pushing the boundaries of speech recognition and conversational AI with their latest innovation, Flow.   Trevor shares his journey from a background in computational astrophysics to becoming a key figure in AI at DeepMind and now Speechmatics. He delves into the development and potential of Flow, a groundbreaking tool combining automatic speech recognition (ASR), large language models (LLMs), and text-to-speech synthesis, aimed at creating seamless and responsive voice interactions.   We explore the wide-ranging applications of Speechmatics' technology across industries, including media, call centers, and education. Trevor discusses the challenges of achieving high accuracy in speech recognition, especially in diverse and noisy environments, and how Speechmatics addresses these challenges with their unique approach to training models.   Listen in as we uncover the intricacies of handling multiple languages, improving diarization, and the future goals of understanding complex audio cues like emotion and sarcasm. Learn about the company's vision for integrating voice technology into everyday products, making technology more accessible and user-friendly.   Don't miss this insightful conversation on the future of voice technology, AI in business, and its role in the evolving landscape of AI. Like, subscribe, and hit the notification bell for more expert discussions on cutting-edge advancements in AI.     This episode is sponsored by Shopify. Shopify is a commerce platform that allows anyone to set up an online store and sell their products. Whether you're selling online, on social media, or in person, Shopify has you covered on every base. With Shopify you can sell physical and digital products. You can sell services, memberships, ticketed events, rentals and even classes and lessons. Sign up for a $1 per month trial period at http://shopify.com/eyeonai     Checkout Speechmatics, the most accurate AI speech technology - with AI transcription & real-time translation components.: https://www.speechmatics.com/     Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI     (00:00) Introduction and Background (01:49) Trevor Back's Journey into AI (04:02) DeepMind and Early AI Applications (07:30) Speechmatics' Mission and Focus (12:06) Key Applications of Speechmatics Technology (14:25) Achieving High Accuracy and Low Latency (17:52) Language Coverage and Challenges (21:27) Future of Voice Technology and AGI (24:52) Integrating Large Language Models (27:31) Handling Multiple Voices and Diarization (29:32) Real-world Applications and Challenges (35:20) Demonstration of Flow and Capabilities (41:14) Endpoint Prediction and Interruption (43:53) Real-time Interactions and Future Prospects (45:34) Launch Event and Future Plans (50:13) New Language Releases and Compliance

In this episode of the Eye on AI podcast, we delve into the power of AI in business and data science and data management with Shub Bhowmick, CEO and co-founder of Tredence.   Explore how Tredence is revolutionizing industries by integrating AI and data science to drive business outcomes. Shub shares his journey from management consulting to leading a team of 2,500 data scientists and engineers. Learn how Tredence is supercharging Fortune 200 clients across retail, consumer packaged goods (CPG), financial services, healthcare, and more, with custom AI solutions.   We dive deep into the challenges and opportunities in leveraging AI, particularly in the CPG sector, and how Tredence addresses data silos, enhances data quality, and implements real-time data processing. Shub also discusses the implementation of generative AI, detailing the company's journey from foundational models to enterprise adoption and responsible AI practices.   Discover Tredence's Gen AI as a service platform, designed to help enterprises navigate the complexities of AI integration, optimize infrastructure, and unlock business value through innovative AI solutions. Shub highlights real-world applications of AI, such as demand forecasting and predictive analytics, demonstrating how these technologies can significantly reduce costs and improve efficiency.   Gain insights into Tredence's growth strategy, including their expansion into new verticals, service lines, and geographies. Shub emphasizes the importance of a multidisciplinary approach, combining domain expertise with cutting-edge technology to deliver customized, impactful AI solutions.   Don't miss out on this insightful conversation. Like, subscribe, and hit the notification bell for more expert discussions on the technologies driving the AI revolution     This episode of Eye on AI  is sponsored by BetterHelp. If you're thinking of starting therapy, give BetterHelp a try. It's entirely online. Designed to be convenient, flexible, and suited to your schedule. Just fill out a brief questionnaire to get matched with a licensed therapist, and switch therapists any time for no additional charge. Visit https://www.betterhelp.com/eyeonai today to get 10% off your first month. This episode is sponsored by Shopify.  Shopify is a commerce platform that allows anyone to set up an online store and sell their products. Whether you're selling online, on social media, or in person, Shopify has you covered on every base. With Shopify you can sell physical and digital products. You can sell services, memberships, ticketed events, rentals and even classes and lessons. Sign up for a $1 per month trial period at http://shopify.com/eyeonai Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Preview and Introduction (02:42) Introducing Shub Bhowmick, CEO of Tredence (03:29) What Tredence Does and Their Clients (04:32) Why Tredence Focuses on Consumer Packaged Goods (06:18) AI Transformation Example in Retail (09:24) Building a Solid Data Foundation (10:42) Improving Reporting with Real-Time Data (11:44) Starting the AI and Data Science Journey (13:32) How Tredence Uses Generative AI (14:10) Stages of Implementing Generative AI (19:09) Applying AI Across Different Industries (23:43) Overview of Gen AI as a Service Platform (25:37) Features and Benefits of the Platform (28:42) How Gen AI is Integrated into Businesses (33:02) Tredence's Unique Approach to AI Solutions (36:08) Importance of Domain-Specific AI Solutions (40:42) Tredence's Growth and Expansion Plans (47:57) Size and Reach of Tredence (50:01) Competing in the AI Market

This episode is sponsored by Oracle. AI is revolutionizing industries, but needs power without breaking the bank. Enter Oracle Cloud Infrastructure (OCI): the one-stop platform for all your AI needs, with 4-8x the bandwidth of other clouds. Train AI models faster and at half the cost. Be ahead like Uber and Cohere.   If you want to do more and spend less like Uber, 8x8, and Databricks Mosaic - take a free test drive of OCI at https://oracle.com/eyeonai     In this episode of the Eye on AI podcast, join us as we sit down with Dr. Sethuraman Panchanathan, Director of the National Science Foundation (NSF), where we explore the impact of AI on research and innovation.   Dr. Panchanathan delves into his journey from PhD student in machine learning to leading one of the most pivotal science organizations in the world. With a background in vector quantization and neural networks, his extensive experience positions him at the forefront of AI advancements.   Discover how the NSF is revolutionizing AI through strategic investments and initiatives like the AI Institutes and the National AI Research Resource (NAIR). Dr. Panchanathan explains how these programs democratize access to cutting-edge computational resources, fostering innovation across diverse regions and disciplines.   Learn about NSF's $828 million investment in AI for 2023 and the agency's unique approach to allocating funds across various scientific domains. Dr. Panchanathan shares insights on the importance of partnerships with industries, educational institutions, and international bodies, emphasizing the need for a collaborative ecosystem to drive AI progress.   He also touches on the role of AI in addressing societal challenges and the ethical considerations in AI development.   Tune in to understand how NSF is leading the charge in AI research and development, ensuring the US remains at the cutting edge of technological innovation.   Don't forget to like, subscribe, and hit the notification bell for more deep dives into the technologies shaping our world.     Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI This episode is sponsored by Vanta, The security and compliance platform trusted by more than 7,000 customers.With Vanta, you can unify your security program management with a built-in risk register and reporting, and proactively manage security reviews with AI-powered security questionnaires.   Listeners get $1,000 off Vanta at https://vanta.com/eyeonai (00:00) Preview and Introduction (02:31) Dr. Panchanathan's Background and Path to NSF (05:45) Overview of NSF's Funding and Research Initiatives (08:17) AI Funding and Allocation Strategy at NSF (11:57) Importance of AI Institutes and Collaborative Efforts (14:55) Democratizing AI Access through NAIR (20:04) NAIR Pilot Projects and Partnerships (24:23) Accessing Compute Resources via NAIR (27:43) Scaling NAIR and Future Projections (30:14) Broader NSF Funding Allocation and Strategic Planning (33:34) Utilizing AI for NSF Operations (37:09) International Collaborations and Comparisons (42:05) Staying Ahead in Global Research Investments (46:03) Focus on Innovation and Talent Development (48:40) Regional Innovation Engines and Future Plans for NSF

This episode is sponsored by SysAid.   Get 20% off SysAid Copilot using this link: https://www.sysaid.com/lp/sysaid-copilot-s?utm_source=youtube&utm_medium=cpc&utm_campaign=short-craig     In this episode of the Eye on AI podcast, join us as we delve into the cutting-edge world of AI and high-performance computing with Brian Spears, Director of the AI Innovation Incubator at Lawrence Livermore National Laboratory.   Brian shares his experience in driving AI into national security science and managing the nation's nuclear stockpile. With a PhD in mechanical engineering, his expertise spans nonlinear dynamical systems and high-dimensional topology, making him uniquely positioned to lead groundbreaking projects in fusion ignition and AI integration.   Discover how Lawrence Livermore National Laboratory achieved fusion ignition for the first time, harnessing the power of AI to elevate simulation models with precise experimental data. Brian explains how this approach is paving the way for commercially viable fusion energy and advancing stockpile stewardship.   Explore the relationship between high-performance computing and AI as Brian discusses the Department of Energy's FAST initiative. Brian also touches on the importance of public-private partnerships, ethical considerations in AI development, and the future potential of quantum computing.   Tune in to understand how the US is leading the global race in AI and computing technology, setting the stage for unprecedented advancements in science and security.   Don't forget to like, subscribe, and hit the notification bell for more insights into the technologies driving the AI revolution.   Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Preview (01:52) Introducing Brian Spears (03:14) Fusion Ignition and AI Integration (06:00) Predictive Models and Experimental Data (08:05) Challenges in Fusion Energy (12:03) Inertial Confinement Fusion Explained (14:12) Future of Fusion Energy (17:15) US Leadership in AI and Computing (19:22) Global AI Competition (22:33) High-Performance Computing Infrastructure (26:08) DOE's FAST Initiative (28:55) Transformational AI Applications (34:01) AI Ethics and Safety (36:24) Scientific Models and Large Language Models (39:30) 3D Molecular Modeling (42:47) National AI Research Resource (NAR) (45:18) Recruitment Challenges in AI (48:09) Comparison with China (52:30) DOE's Role and Future Vision (54:19) Quantum Computing

This episode is sponsored by Netsuite by Oracle, the number one cloud financial system, streamlining accounting, financial management, inventory, HR, and more.   NetSuite is offering a one-of-a-kind flexible financing program. Head to  https://netsuite.com/EYEONAI to know more.     In this episode of the Eye on AI podcast, join us as we sit down with Avi Kedmi, CEO of SysAid, to explore the transformative power of AI in IT service management.   Avi shares his journey from the high-tech industry to leading SysAid, a pioneer in IT service management solutions. With over 20 years of experience, Avi discusses how SysAid is leveraging AI to revolutionize service management through predictive modeling and generative AI.   Discover how SysAid's AI-driven solutions reduce ticket volumes and enhance customer satisfaction by automating IT services. Avi provides an inside look at SysAid's AI Co-Pilot, a comprehensive AI suite designed to optimize IT service delivery and support.   Explore the unique features of SysAid's platform, including its ease of use, no-code interface, and seamless integration with existing IT systems. Avi explains how SysAid's AI capabilities enable real-time data processing and decision-making, improving efficiency and response times.   Learn about the future of AI in IT service management, as Avi delves into the potential for AI-driven automation and the development of smarter IT solutions. He also highlights SysAid's strategic approach to staying competitive in a rapidly evolving industry.   Tune in to understand how SysAid is setting new standards in AI-powered IT service management and what this means for the future of IT support.   Don't forget to like, subscribe, and hit the notification bell for more insights into the technologies driving the AI revolution.     Get 20% off SysAid Copilot using this link: https://www.sysaid.com/lp/sysaid-copilot-s?utm_source=youtube&utm_medium=cpc&utm_campaign=short-craig   Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI   (00:00) Preview and Introduction (02:38) Avi Kedmi's Background (04:37) SysAid's Role in the ITSM Market (06:39) SysAid Co-Pilot: AI-Powered IT Solutions (08:31) Importance of Generative AI in Service Management (12:23) Conversational Interfaces and Large Language Models (14:20) AI Applications in IT Service Management (21:16) Automated Pre-Processing and Document Handling (25:33) AI's Role in Reducing Ticket Volumes (28:56) Ensuring Accuracy and Relevance (30:46) Cross-Channel Accuracy Management (34:03) SysAid's Mid-Market Focus and Strategic Positioning (37:52) Market Segmentation and Competitive Advantage (39:17) Digitization and Future Market Trends (43:54) Challenges with Knowledge Base Maintenance (46:48) Future Developments and Industry Trends (47:39) SysAid's Vision for AI and IT Service Management

This episode is sponsored by TrialKey.ai, the market leader AI-driven clinical trial design optimization, and predictor that improves trial design and execution. With over 90% accuracy based on precision/recall, TrialKey.ai predicts the success of clinical trials more precisely than any other tool on the market.  Maximize clinical trial success while minimizing costs – book a demo at https://trialkey.ai/ or sign up for free!    In this episode of the Eye on AI podcast, join us as we sit down with Mrinal Manohar, CEO of Casper Labs, to explore the intersection of blockchain technology and AI governance.   Mrinal delves into his journey from Wall Street to founding Casper Labs, a leading enterprise-grade blockchain infrastructure company. With a strong background in computer science and experience in AI governance, Mrinal shares how Casper Labs is setting new standards in AI compliance and security.   Discover how Casper Labs uses blockchain to create tamper-proof, auditable records, ensuring the integrity and security of AI systems. Mrinal explains the innovative use of blockchain for multi-party access and version control, highlighting the company's collaboration with IBM to develop cutting-edge solutions integrated into the Watson X platform.   Explore the implications of upcoming AI legislation, such as the EU AI Act, and how Casper Labs is helping enterprises navigate these regulatory changes. Mrinal provides insights into the challenges and opportunities in AI governance, discussing real-world use cases and the future of secure AI systems.   Learn how Casper Labs is positioning itself ahead of the curve, with technical differentiators and strategic partnerships that set it apart in the industry.   Tune in to understand how Casper Labs is transforming AI compliance and security with blockchain, and what this means for the future of AI.   Don't forget to like, subscribe, and hit the notification bell for more insights into the technologies driving the AI revolution.     Checkout Casper Labs: Website: https://casperlabs.io/ Twitter/X: https://x.com/Casper_Labs     Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI     (00:00) Preview and Introduction (01:37) Overview of Casper Labs (03:46) Proof of Concept and Collaboration with IBM (06:58) AI Governance and Compliance Needs (08:38) Key Components of Blockchain for AI Governance (10:22) Training Data Integrity and Auditability (14:22) Challenges in AI Governance (17:15) Real-World Use Cases and Partnerships (19:24) Technical Differentiators of Casper Labs (23:39) Future Vision and Product Launch (26:23) Scalability and Hybrid Networks (27:52) Product Integration and User Experience (31:54) Support and Onboarding for Enterprises (33:11) Building the Blockchain Network (36:02) Market Response and Future Prospects (39:16) Differentiating from Competitors (41:06) Expansion Plans and Future Vision (45:43) Global Compliance and Availability (55:44) Closing Thoughts

This episode of Eye on AI  is sponsored by BetterHelp. If you're thinking of starting therapy, give BetterHelp a try. It's entirely online. Designed to be convenient, flexible, and suited to your schedule. Just fill out a brief questionnaire to get matched with a licensed therapist, and switch therapists any time for no additional charge. Visit https://www.betterhelp.com/eyeonai today to get 10% off your first month. In this episode of the Eye on AI podcast, join host Craig Smith as he engages with Russell Palmer, CEO & Co-Founder at CyberFilm AI.   Russell delves into the transformative journey of integrating AI with storytelling, emphasizing the role of strong narratives in creating impactful AI films. He shares his extensive background, from his early days at Microsoft and JP Morgan to co-founding a startup with his brother that pioneers AI tools for the film industry.   Explore how their innovative app supports writers and filmmakers by offering structured templates, AI-generated plot ideas, character arcs, and storyboards. Discover the startup's mission to democratize filmmaking, making high-quality tools accessible to film students, hobbyists, and professionals alike.   Russell discusses the future of AI in filmmaking, highlighting the potential for AI to enhance creativity, support diverse storytelling, and bridge the gap between aspiring creators and Hollywood-level productions. Learn about their plans to expand features, including video generation and script analysis, while maintaining ethical AI use and respecting intellectual property.   Join us for an insightful conversation on how AI is shaping the future of storytelling and filmmaking, and gain valuable perspectives on navigating this evolving landscape.   Tune in to learn how AI can empower you to create compelling stories and films.    Don't forget to like, subscribe, and hit the notification bell for more on groundbreaking AI technologies. Check out CyberFilms' Latest Product: Website: https://writeonsaga.com Social: https://www.tiktok.com/@writeonsaga   Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Preview and Introduction (02:59) Russell's Background and Early Career (05:07) Importance of Story in Filmmaking (06:52) Early Reception and Writer Strike Impact (08:16) Evolution Video Generation AI Tools (11:10) Democratizing Filmmaking for All (14:24) AI in Hollywood and Cost Reduction (17:21) Addressing Predictability in AI-Generated Stories (20:39) Creativity and Originality in AI (25:04) Expanding Storytelling to Global and Cultural Narratives (29:22) Demonstration of the AI Storytelling App- Saga (35:28) Enhancing Script Writing with AI (37:59) Integrating Storyboards and Cinematography (42:05) Opportunities for Aspiring Filmmakers (45:52) Final Thoughts

This episode is sponsored by Netsuite by Oracle, the number one cloud financial system, streamlining accounting, financial management, inventory, HR, and more.   NetSuite is offering a one-of-a-kind flexible financing program. Head to  https://netsuite.com/EYEONAI to know more.  In this episode of the Eye on AI podcast, join host Craig Smith as he sits down with Itamar Friedman, co-founder and CEO of CodiumAI, a pioneering company in the realm of intelligent coding systems.   Itamar shares the ambitious vision of CodiumAI, where developers can aim for zero bugs and issues in their code. Dive into the innovative solutions CodiumAI offers, including Codiumate and PR Agent, tools designed to assist developers in planning, writing, analyzing, and reviewing code with high integrity.    Explore the concept of flow engineering and how CodiumAI's research project, AlphaCodium, outperforms DeepMind's AlphaCode by using fewer LLM calls and no fine-tuning.    Itamar delves into the future of coding, where AI not only generates code but ensures its quality through robust verification systems.Itamar offers valuable advice for both developers and enterprises on navigating the evolving landscape of AI in software development.   Tune in to gain insights into how CodiumAI is leading the way in creating a future where coding is more efficient, reliable, and free from bugs.   Don't forget to like, subscribe, and hit the notification bell for more on groundbreaking AI technologies. Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI

This episode is sponsored by Oracle. AI is revolutionizing industries, but needs power without breaking the bank. Enter Oracle Cloud Infrastructure (OCI): the one-stop platform for all your AI needs, with 4-8x the bandwidth of other clouds. Train AI models faster and at half the cost. Be ahead like Uber and Cohere. If you want to do more and spend less like Uber, 8x8, and Databricks Mosaic - take a free test drive of OCI at https://oracle.com/eyeonai In this episode of the Eye on AI podcast, join us as we sit down with Lukas Biewald, CEO & co-founder of Weights & Biases, the AI developer platform with tools for training models, fine-tuning models, and leveraging foundation models.  Lukas takes us through his journey, from his early days at Stanford and his work in natural language processing, to the founding of CrowdFlower and its evolution into a major player in data annotation. He shares the insights that led him to start Weights and Biases, aiming to provide comprehensive tools for the entire machine learning workflow. Lukas discusses the importance of high-quality data annotation, the shift in AI applications, and the role of reinforcement learning with human feedback (RLHF) in refining large models. Discover how Weights and Biases helps ML practitioners with data lineage and compliance, ensuring that models are trained on the right data and adhere to regulatory standards. Lukas also highlights the significance of tracking and visualizing experiments, retaining intellectual property, and evolving the company's products to meet industry needs. Tune in to gain valuable insights into the world of ML Ops, data annotation, and the critical tools that support machine learning practitioners in deploying reliable models. Don't forget to like, subscribe, and hit the notification bell for more on groundbreaking AI technologies. Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Preview and Intro (01:39) Lukas's Background and Career  (04:09) Founding CrowdFlower and Early Machine Learning  (06:59) Current Trends in Machine Learning (08:46) Reinforcement Learning with Human Feedback (RLHF)  (12:43) Weights and Biases: Origin and Mission   (16:44) Visualizations and Compliance in AI  (22:43) US vs. EU AI Regulations (25:20) Importance of Experiment Tracking in ML  (28:47) Evolving Products to Meet Industry Needs  (30:38) Prompt Engineering in Modern AI  (33:34) Challenges in Monitoring AI Models  (37:25) Monitoring Functions of Weights and Biases (39:33) Future of Weights and Biases

This episode is sponsored by Netsuite by Oracle, the number one cloud financial system, streamlining accounting, financial management, inventory, HR, and more. NetSuite is offering a one-of-a-kind flexible financing program. Head to https://netsuite.com/EYEONAI to know more. In this episode of the Eye on AI podcast, join us as we sit down with Jonathan Gillham, founder of Originality AI, a company specializing in AI detection technology.   Jonathan delves into the origins of Originality AI, born out of the need to distinguish between human and AI-generated content in the content publishing industry.    Discover how Originality AI uses supervised learning to build sophisticated models that accurately predict the presence of AI in written content, addressing the challenges of AI detection and adversarial prompts.Learn about the diverse use cases of Originality AI, from web publishers to academia, and how the technology helps mitigate the risk of AI-generated spam in the eyes of Google.   Understand the ethical considerations and societal impacts of AI-generated content, and why transparency and labeling are crucial in this evolving landscape. Jonathan also shares insights into the company's business model, growth trajectory, and future developments, including automated fact-checking and enhancing mixed-use case detection.   Tune in to gain valuable insights into how AI detection technology is shaping the future of content publishing and ensuring content authenticity.   Don't forget to like, subscribe, and hit the notification bell for more on groundbreaking AI technologies.   This episode is sponsored by Vanta, The security and compliance platform trusted by more than 7,000 customers.With Vanta, you can unify your security program management with a built-in risk register and reporting, and proactively manage security reviews with AI-powered security questionnaires.   Listeners get $1,000 off Vanta at vanta.com/eyeonai   Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI

In this episode of the Eye on AI podcast, join us as we sit down with Peter Cousins, CTO at WorkFusion, a pioneering company in intelligent automation and digital workers for anti-financial crime solutions. Peter shares how WorkFusion leverages generative AI and classical AI to combat financial crime and enhance compliance.  Discover how AI technologies are revolutionizing sanction screening, adverse media analysis, and KYC processes, reducing manual effort and focusing on high-risk cases. Learn about the challenges of implementing generative AI in financial services and how a hybrid approach combining human judgment, classical AI, and generative AI ensures accuracy and reliability.  Understand the importance of explainability in AI decisions and how WorkFusion's solutions meet regulatory standards for global financial institutions.  Peter also shares insights into the ongoing arms race against financial criminals and the future of AI in the financial industry. Tune in to gain valuable insights into how AI is transforming financial services.  Don't forget to like, subscribe, and hit the notification bell for more on groundbreaking AI technologies. Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI

This episode is sponsored by TrialKey.ai, the market leader AI-driven clinical trial design optimization, and predictor that improves trial design and execution. With over 90% accuracy based on precision/recall, TrialKey.ai predicts the success of clinical trials more precisely than any other tool on the market.  Maximize clinical trial success while minimizing costs – book a demo at https://trialkey.ai/ or sign up for free!  In this episode of the Eye on AI podcast, join us as we sit down with Rahul Sonwalkar, founder and CEO of Julius AI, a cutting-edge platform revolutionizing data analysis through AI-powered code generation. Rahul shares his inspiring journey from learning to code in high school to founding Julius AI, a tool that helps users analyze datasets, create visualizations, and gain insights using natural language. With over half a million users in just eight months, Julius AI is transforming the way we approach data science and coding. Discover the challenges and solutions in AI code generation, as Rahul delves into the complexities of building an AI-native product focused on accuracy. Learn how Julius AI uses a mixture of models and error recovery processes to provide reliable code generation and execution. Explore real-world use cases of Julius AI, from financial analysis and biostatistics to web scraping and beyond. Rahul also shares the future vision of programming with AI, where everyone can become a programmer using simple English commands. Tune in to understand how Julius AI is setting itself apart from competitors like Microsoft's Copilot and other AI coding tools by prioritizing user-focused problem-solving and community engagement. Rahul's insights into the future of AI programming and the expansion plans for Julius AI are not to be missed. Don't forget to like, subscribe, and hit the notification bell for more insights into the groundbreaking technologies driving the AI revolution. Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Preview and Introduction to Julius AI (04:18) Rahul's Background and Journey (10:34) Development and Vision for Julius AI (14:37) Challenges in AI Code Generation (17:07) Acquiring Users and Community Building (19:29) Solving the Code Generation Problem (23:33) How Julius AI Works (33:19) Range of Tasks and Use Cases (36:02) Comparison with Competitors (39:49) AI Native Products vs. Integrations (44:03) Julius AI's Business Model (44:23) Live Demo of Julius AI (48:14) Success Stories and User Examples (51:43) Julius AI's Future Plans and New Features (54:54) Translating Complex Documents with AI (56:09) Optimism for the Future of AI Programming

This episode is sponsored by Vanta, The security and compliance platform trusted by more than 7,000 customers.With Vanta, you can unify your security program management with a built-in risk register and reporting, and proactively manage security reviews with AI-powered security questionnaires. Listeners get $1,000 off Vanta at vanta.com/eyeonai   In this episode of the Eye on AI podcast, join us for an insightful conversation with Edward Balassanian, CEO and founder of Aimi, a trailblazer in the realm of generative AI music. Edward takes us through his fascinating journey from engineering and computer science to pioneering a platform that transforms music into a dynamic, interactive service. Aimi's innovative approach to AI-generated music is redefining the industry by enabling both amateurs and professionals to create high-quality, customized music. Discover the technical and legal challenges unique to the AI music space, and how Aimi's bottom-up approach to music creation sets it apart from other AI music initiatives. Edward delves into the complexities of training models with ethically sourced, high-quality data, and explains the importance of maintaining human elements in generative music. Explore the vast potential of music as a service and how Aimi is revolutionizing industries like gaming, social media, and content creation by integrating seamless, non-repetitive music into various applications. Edward also shares real-world examples and future plans for Aimi, emphasizing the role of AI in amplifying human creativity. Tune in to understand the transformative impact of AI on music and how Aimi is leading the charge in this exciting frontier. Don't forget to like, subscribe, and hit the notification bell for more insights into the cutting-edge technologies driving the AI revolution. This episode is sponsored by Oracle. AI is revolutionizing industries, but needs power without breaking the bank. Enter Oracle Cloud Infrastructure (OCI): the one-stop platform for all your AI needs, with 4-8x the bandwidth of other clouds. Train AI models faster and at half the cost. Be ahead like Uber and Cohere. If you want to do more and spend less like Uber, 8x8, and Databricks Mosaic - take a free test drive of OCI at https://oracle.com/eyeonai Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI

This episode is sponsored by Oracle. AI is revolutionizing industries, but needs power without breaking the bank. Enter Oracle Cloud Infrastructure (OCI): the one-stop platform for all your AI needs, with 4-8x the bandwidth of other clouds. Train AI models faster and at half the cost. Be ahead like Uber and Cohere. If you want to do more and spend less like Uber, 8x8, and Databricks Mosaic - take a free test drive of OCI at https://oracle.com/eyeonai In this episode of the Eye on AI podcast, join us as we dive into the realm of AI quality assurance with Mohamed Elgendy, CEO and co-founder of Kolena.  Discover the intricacies of ensuring robust AI performance as Mohamed shares his journey from a software engineer to leading an AI quality platform. Kolena is setting new standards in AI testing, addressing the non-deterministic nature of machine learning models with a systematic framework for validation. The conversation navigates the challenges of AI testing, the importance of structured quality assurance, and the collaboration with industry bodies to shape the future of AI standards. Mohamed elaborates on Kolena's innovative approach to both human and automated evaluations, providing comprehensive testing solutions tailored to diverse customer needs. We also explore real-world use cases and the platform's future plans to make AI testing more accessible and reliable. Mohamed's insights illuminate the path toward achieving high-quality AI systems, ensuring they perform as intended across various applications. Tune in to understand the advancements propelling AI quality forward and how Kolena is pioneering the way in this crucial aspect of AI development. Don't forget to like, subscribe, and hit the notification bell for more insights into the technologies driving the AI revolution. This episode is sponsored by Shopify. Shopify is a commerce platform that allows anyone to set up an online store and sell their products. Whether you're selling online, on social media, or in person, Shopify has you covered on every base. With Shopify you can sell physical and digital products. You can sell services, memberships, ticketed events, rentals and even classes and lessons. Sign up for a $1 per month trial period at http://shopify.com/eyeonai Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI

This episode is sponsored by 1Password. 1Password combines industry-leading security with award-winning design to bring private, secure, and user-friendly password management to everyone. Companies lose hours every day just from employees forgetting and resetting passwords. A single data breach costs millions of dollars. 1Password secures every sign-in to save you time and money. Right now, my listeners get a free 2-week trial at:  https://www.1password.com/eyeonai In this episode of Eye on AI, join us as we explore the cutting-edge world of GPU optimization with Ronen Dar, CTO and co-founder of Run:ai.  Delve into the intricacies of managing and maximizing GPU utilization in an era marked by a severe GPU shortage. Ronen shares his insights on how Run:ai's innovative software is revolutionizing AI infrastructure, making GPU resources more efficient and accessible. The conversation spans the technical challenges of scaling AI models, the evolution of GPU demands from basic algorithms to complex systems like GPT-4, and the strategic innovations helping enterprises overcome these hurdles. Ronen also reflects on the future of AI development, predicting an exponential increase in demand for computational power and the innovative solutions poised to meet these needs. Tune in to uncover the technological advancements that are propelling AI capabilities forward and shaping the future of AI deployment across industries. Don't forget to like, subscribe, and hit the notification bell for more deep dives into the technologies that are transforming our digital landscape. Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Preview (02:46) Introducing Ronen Dar (04:00) Ronen's background and RunAI's origins (09:13) The need for efficient GPU utilization in AI (13:14) RunAI's core value proposition (15:33 RunAI's deployment model (18:55) The growing demand for compute power and GPUs (22:08) Challenges in scaling models beyond 70 billion parameters (27:52) RunAI's open platform approach (31:00) Addressing latency and throughput challenges in inference (34:36) RunAI's integration with AI tools and frameworks (39:37) Reducing the cost of inference with GPU virtualization (43:54) Challenges in auto-scaling for large language models (47:06) The future of the GPU market and demand (50:49) NVIDIA's dominance and the role of competitors like Cerebras (54:20) RunAI's global customer base and demand patterns (57:52) NVIDIA's vision and the evolution of GPU architectures (01:01:25) Compute requirements for the metaverse and future AI applications (01:03:56) Concerns about power consumption and carbon footprint

This episode is sponsored by Netsuite by Oracle, the number one cloud financial system, streamlining accounting, financial management, inventory, HR, and more. NetSuite is offering a one-of-a-kind flexible financing program. Head to  https://netsuite.com/EYEONAI to know more.     Unlock the secrets of clinical trial predictions with Saurabh Jain and Damon Rasheed from Opyl & TrialKey.ai on this episode of Eye on AI. In today's discussion, delve into how TrialKey's pioneering AI model can predict the success of clinical trials with astonishing accuracy—about 90%. Learn about the innovative use of over 400,000 past trials to enhance the precision and efficiency of new pharmaceutical trials. Saurabh and Damon share how their technology not only predicts outcomes but also optimizes trial design, saving substantial time and resources in the drug development process. The episode also covers the sophisticated data processing techniques employed by TrialKey, including natural language processing to extract vital variables from complex datasets, and the strategic use of these insights to improve trial designs. Discover the implications of poorly designed trials and how AI can revolutionize their structure for better success rates. Tune in to gain a deeper understanding of how AI and machine learning are transforming the pharmaceutical landscape, making clinical trials more predictive and efficient. Saurabh and Damon's expertise offers a glimpse into the future of medical research and investment, emphasizing the role of AI in enhancing decision-making and resource allocation in healthcare. Remember to like, subscribe, and hit the notification bell to keep up with the latest innovations and discussions reshaping the future of artificial intelligence and healthcare.     Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI

Dive into the cutting-edge realm of neuromorphic computing with André van Schaik, a professor of electrical engineering at the Western Sydney University, and director of the International Centre for Neuromorphic Systems, in Penrith, New South Wales, Australia In this episode of Eye on AI, André unveils the capabilities of DeepSouth, an innovative brain-scaled neuromorphic computing system designed to simulate up to 100 billion neurons in real time. Discover how DeepSouth leverages spiking neurons and synapses to process information more efficiently than traditional AI models, and how this technology could transform our understanding of brain computation and unlock new AI architectures. The conversation explores the unique hardware setup of DeepSouth, utilizing FPGAs (Field-Programmable Gate Arrays) for a flexible, reconfigurable approach that mimics the asynchronous and spiking communication of biological neurons.  André discusses the initial testing phase focusing on balanced excitation-inhibition networks, reflecting common neural activities in the human cortex, and outlines the system's potential to facilitate large-scale simulations previously unachievable due to computational constraints. André's insights are invaluable for anyone interested in the intersection of neuroscience, artificial intelligence, and computational technology. Don't forget to like, subscribe, and hit the notification bell to stay updated on the latest breakthroughs and discussions in the world of artificial intelligence.     This episode is sponsored by Oracle. AI is revolutionizing industries, but needs power without breaking the bank. Enter Oracle Cloud Infrastructure (OCI): the one-stop platform for all your AI needs, with 4-8x the bandwidth of other clouds. Train AI models faster and at half the cost. Be ahead like Uber and Cohere. If you want to do more and spend less like Uber, 8x8, and Databricks Mosaic - take a free test drive of OCI at https://oracle.com/eyeonai Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Preview and Introduction (02:19) André van Schaik's background (03:39) What is neuromorphic computing? (05:45) Differences between Von Neumann and neuromorphic architectures (09:27) How DeepSouth simulates neurons (12:20) What are FPGAs? (16:42) Current status of DeepSouth (19:04) Running neural network architectures on DeepSouth (22:33) DeepSouth as an open source, commercial hardware (24:40) Potential for cheaper model training (28:35) Number of neurons and connections in DeepSouth (30:01) Power consumption comparison (34:21) Mimicking brain structures in DeepSouth (35:42) André van Schaik's background in neuroscience (39:12) Goals of understanding brain activity vs solving problems (41:44) Interest from AI research community (43:03) Summary of DeepSouth's goals

This episode is sponsored by 1Password. 1Password combines industry-leading security with award-winning design to bring private, secure, and user-friendly password management to everyone. Companies lose hours every day just from employees forgetting and resetting passwords. A single data breach costs millions of dollars. 1Password secures every sign-in to save you time and money. Right now, my listeners get a free 2-week trial at: www.1password.com/eyeonai Explore the world of AI development with Will Falcon, creator of PyTorch Lightning and founder of Lightning AI. In this episode of Eye on AI, Will takes us through the groundbreaking journey of Lightning Studio, a revolutionary cloud-based platform that's reshaping how AI tools and frameworks are integrated and scaled. From his unique start in the US military to leading AI innovation, Will offers a comprehensive look at the evolution of machine learning technologies that simplify and accelerate the deployment of AI models. The discussion delves into the creation of PyTorch Lightning, highlighting its role in democratizing AI development by structuring code and enabling scalability across thousands of machines. Will also outlines the pivotal shift from traditional coding practices to a streamlined, cloud-based environment, making advanced AI tools accessible to a global community of developers. Tune in as we uncover the layers of technology that drive AI forward and discuss the future of AI development platforms. Will's insights are crucial for anyone interested in the intersection of AI, software engineering, and cloud infrastructure. Make sure to hit the like button and subscribe for more insights into the technologies shaping our world. This episode is sponsored by Oracle. AI is revolutionizing industries, but needs power without breaking the bank. Enter Oracle Cloud Infrastructure (OCI): the one-stop platform for all your AI needs, with 4-8x the bandwidth of other clouds. Train AI models faster and at half the cost. Be ahead like Uber and Cohere. If you want to do more and spend less like Uber, 8x8, and Databricks Mosaic - take a free test drive of OCI at https://oracle.com/eyeonai Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI

This episode is sponsored by 1Password. 1Password combines industry-leading security with award-winning design to bring private, secure, and user-friendly password management to everyone. Companies lose hours every day just from employees forgetting and resetting passwords. A single data breach costs millions of dollars. 1Password secures every sign-in to save you time and money. Right now, my listeners get a free 2-week trial at: www.1password.com/eyeonai   Dive into the world of autonomous driving with Dragomir Anguelov, Vice President, Head of Research at Waymo, in this captivating episode of Eye on AI. Drago offers a profound exploration into the technical and operational advancements driving the future of autonomous vehicles. With his rich background at Google and now at Waymo, Drago provides an insider's view on the evolution of machine learning technologies and their pivotal role in developing self-driving cars that are not only intelligent but also safe and reliable. This conversation spans the inception of large neural networks for image understanding to the intricate deployment of robotaxis in urban environments. Drago details the challenges of scaling these complex systems across different cities and the breakthroughs that have made autonomous driving a tangible reality in places like Phoenix and San Francisco. Drago's insights are invaluable for anyone interested in the convergence of AI, robotics, and transportation. If you are fascinated by the advancements being made in the autonomous driving space and how they could transform our daily lives, make sure to hit the like button and subscribe for more deep dives into the technologies shaping our future.   Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI

This episode is sponsored by Netsuite by Oracle, the number one cloud financial system, streamlining accounting, financial management, inventory, HR, and more. NetSuite is offering a one-of-a-kind flexible financing program. Head to  https://netsuite.com/EYEONAI to know more.  Venture into the future of AI with Nick Bostrom, a philosopher at the University of Oxford known for his work on existential risk, the anthropic principle, human enhancement ethics, whole brain emulation, superintelligence risks, and the reversal test. On episode #181 of Eye on AI, Nick Bostrom, explores the existential and societal implications of AI reaching and surpassing human capabilities. As we contemplate a world where all tasks are performed by AI, Nick discusses the potential for a 'technologically solved' society and its impact on human purpose and motivation. Join us as Nick provides insights into his latest book, "Deep Utopia," where he questions how humans will find meaning when artificial intelligence handles every aspect of labor and creativity. He elaborates on the risks, ethical considerations, and philosophical dilemmas we face as AI continues to evolve at an unprecedented pace. This episode is an essential exploration of the shifts AI may bring to our societal structures, labour markets, and individual lives.  If you find yourself intrigued by the philosophical journey into AI's potential to redefine humanity, hit the like button and subscribe for more thoughtful discussions on the future landscapes shaped by artificial intelligence. Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI   (00:00) Introduction and the Concept of a 'Solved World' (03:05) Nick Bostrom's Background (06:06) Exploring the Anthropomorphism in Modern AI (08:02) Predictions and the 'Hockey Stick' Graph (10:13) AI Safety and Public Perception (12:58) Deep Utopia and the Search for Meaning (15:46) Life in a Technologically Mature World (18:17) Existential Malaise in Modern Society (20:43) The Potential of Technological Maturity (23:51) Philosophical Implications of a Solved World (28:20) Engineering Happiness and Neurological Adjustments (32:18) Remaining Human Tasks and Cultural Values (35:45) The Future of Humanity (47:03) Closing Remarks and Sponsor Message