
Eye On A.I.
Eye on A.I. is a biweekly podcast, hosted by longtime New York Times correspondent Craig S. Smith. In each episode, Craig will talk to people making a difference in artificial intelligence. The podcast aims to put incremental advances into a broader context and consider the global implications of the developing technology. AI is about to change your world, so pay attention.
Episodes
#193 Itamar Friedman: How CodiumAI is Making Bug-Free Code a Reality
#192 Lukas Biewald: How Weights and Biases Supercharges Machine Learning
#191 Jonathan Gillham: AI or Human? Exploring Originality AI's Detection Technology
#190 Peter Cousins: AI's Role in Anti-Financial Crime
#189 Rahul Sonwalkar: The Future of Programming, AI-Powered Code Generation with Julius AI
#188 Edward Balassanian: The Evolution of AI Music
#187 Mohamed Elgendy: Systematic Testing for Generative AI Models with Kolena
#186 Ronen Dar: Maximizing GPU Utilization for AI with Run:ai
#185 Damon Rasheed & Saurabh Jain: Achieving Up to 90% Accuracy in Predicting Drug Clinical Trial Outcomes with Opyl's Trialkey.ai
#184 André van Schaik: Building An Artificial Brain With 100 Billion Neurons
#183 William Falcon: How Lightning Studio Transforms ML Model Deployment at Scale
#182 Dragomir Anguelov: The Future of Transportation - Waymo's Vision for Autonomous Driving
#181 Nick Bostrom: The Meaning of Life in a World where AI can do Everything for Us
This podcast episode explores the significant advances in AI since the publication of the book "Superintelligence" in 2014, highlighting the deep learning revolution and its implications on the possibility of transformative AI and its potential existential risks. The podcast also delves into the ongoing debate about AI...
#180 Thomas Lah: Navigating AI Adoption in Tech Businesses
#179 Ylli Bajraktari: AI and National Security - The Race with China
This podcast episode explores the origins and purpose of the Special Competitive Studies Project (SESP) and the National Security Commission on Artificial Intelligence (NSCAI), both of which focus on addressing competition from China. It discusses the different approaches taken by these commissions in developing AI str...
#178 Terry Sejnowski: The Role Of Neural Networks in Advancing AI
#177 Björn Ommer: Are Diffusion Models The Key to Unlocking AI's Potential?
This podcast episode explores the active nature of perception, the challenges of deep learning and generative models, the importance of democratizing the development of generative AI, the concept of diffusion models, the challenges of making generative AI models available on consumer hardware, the complexities of visua...
#176 Sergey Levine: Decoding The Evolution of AI-Controlled Robots
#175 Aravind Srinivas: Revolutionizing Search with Perplexity AI
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