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Eye On A.I.

Latest episodes

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Sep 30, 2024 • 57min

#210 Pedro Domingos: Exploring AI’s Impact on Politics and Society

In this discussion, Pedro Domingos, a computer science professor and AI expert, shares insights on the nuanced impacts of AI on society. He presents his satirical novel, 2040, where an AI named Prezibot runs for president, sparking debates on democracy and the flaws in decision-making processes. Pedro examines the stark contrast between Silicon Valley's tech utopia and homelessness. He also addresses the evolving role of AI in decision-making, the challenges of AI governance, and stresses the importance of human engagement in leveraging AI’s potential responsibly.
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Sep 25, 2024 • 40min

#209 Bill Moore: How BCG Created a Conversational AI Co-Host (Inside the Development of GENE)

Bill Moore, an expert at BCGX, discusses the innovative AI co-host Gene, designed for seamless human interaction. He shares the technical journey of overcoming challenges like latency and context handling to achieve over 90% accuracy in real-time conversations. The conversation delves into the ethics of AI, particularly the importance of gender neutrality in AI assistants, challenging outdated stereotypes. Moore emphasizes the potential of AI in media while balancing human creativity with analytical power.
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Sep 18, 2024 • 54min

#208 Michael Martin: How AI is Saving Lives Every Day (Inside RapidSOS’s Groundbreaking Tech)

Michael Martin, CEO of RapidSOS, is at the forefront of using AI to enhance emergency response systems. He discusses how their technology integrates data from over 540 million devices to drastically reduce response times for 911 calls. Michael shares personal insights into the flaws of the current system and how AI can improve accuracy and effectiveness in emergencies. He also explores the role of Ambient Intelligence in elder care and highlights the need for inclusivity in emergency services, ensuring everyone benefits from technological advancements.
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Sep 15, 2024 • 47min

#207 Noa Srebrnik: How to Mitigate AI Risk in High-Stakes Industries

Noa Srebrnik, a specialist in mitigating AI risks in high-stakes industries, shares insights on using AI in finance and insurance. She explains how Citrusx.ai's platform enhances transparency, governance, and compliance through innovative synthetic data technology. The discussion covers the challenges of navigating fragmented AI regulations, particularly in light of the EU AI Act. Noa also emphasizes the importance of tailored AI solutions for risk management, advocating for collaboration and independent validation in an evolving regulatory landscape.
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Sep 4, 2024 • 50min

#206 Krishna Rangasayee: Why Edge AI is the Next Big Thing in Tech

Krishna Rangasayee, the CEO of SiMa.ai with over 30 years of experience in software and silicon design, discusses the game-changing innovations of Edge AI. He highlights how embedded systems are transforming industries like robotics and automotive. Krishna explains the advantages of SiMa.ai's Machine Learning System on Chip, showcasing its superior performance versus cloud solutions. They explore the future of AI hardware, the promise of neuromorphic computing, and why the edge market could eclipse the cloud in the coming years.
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Aug 28, 2024 • 54min

#205 Randall Degges: The Biggest Risks of AI-Generated Code (What Developers Need to Know!)

Randall Degges, Head of Developer Relations and Security at Snyk, shares over 20 years of expertise in software development and security. He discusses the integration of symbolic and generative AI for vulnerability detection, emphasizing the importance of human oversight. The conversation tackles the risks associated with AI-generated code and the challenge of AI hallucinations. Randall also highlights Snyk's approach to enhancing code security, the future of coding amid AI advancements, and the continuous demand for developers skilled in AI tools.
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Aug 21, 2024 • 56min

#204 Peter Guagenti: How AI Will Change the Way Developers Work (Tabnine’s Vision Explained)

Peter Guagenti, President and CMO at Tabnine, shares insights on how AI is revolutionizing software development. He discusses his journey from web developer to AI innovator, emphasizing the need for personalized AI tools that enhance engineering workflows. Peter addresses the potential of AI as a collaborator, the importance of context-aware models, and how Tabnine is addressing privacy concerns. The conversation highlights AI's role in streamlining repetitive tasks, allowing developers to focus on creativity while navigating the evolving landscape of coding.
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Aug 14, 2024 • 57min

#203 Xun Wang: How Bloomreach is Shaping the Future of AI-Powered E-Commerce

Xun Wang, Chief Technology Officer at BloomReach and former NVIDIA pioneer in parallel computing, shares insights on AI's role in reshaping e-commerce. He discusses BloomReach's innovative Loomi AI platform, which enhances personalized shopping experiences through advanced technologies like generative AI and two-tower neural networks. The conversation touches on ethical considerations in data usage and marketing effectiveness, as well as the company's focus on optimizing customer interactions to boost engagement and conversion rates.
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Aug 7, 2024 • 59min

#202 Raphael Townshend: How AI and RNA Tech is Transforming Drug Discovery (Inside Atomic AI)

Raphael Townshend, Founder and CEO of Atomic AI, discusses the groundbreaking intersection of AI and RNA in drug discovery. He highlights how AI models, like Atom 1, predict RNA shapes with remarkable accuracy, unlocking potential in treating previously undruggable diseases like cancer. Townshend dives into the significance of RNA in mRNA vaccines and shares insights on overcoming challenges in drug development. Using advanced AI techniques, his work aims to revolutionize the biotech landscape and create effective therapies for a range of conditions.
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Aug 5, 2024 • 55min

#201 Danny Halawi: The Science Behind AI Predictions - Accuracy, Challenges, and Innovations

Danny Halawi, a PhD student at UC Berkeley, shares insights into AI forecasting, focusing on large language models' role in making accurate predictions. He discusses the transition from computer security to predicting geopolitical events, revealing the architecture of his AI system that combines real-time data and machine learning. Halawi explores the complexities of judgmental vs. time series forecasting, the challenges of AI training for critical predictions, and ethical considerations surrounding AI in decision-making. Expect fascinating discussions on the future of superhuman predictions!

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