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Tagged “Machine Learning”
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Andrew Ng: AI, Education, and Entrepreneurship
Andrew Ng, a pioneer in artificial intelligence and education, explores his path from Stanford academia to leading efforts like Google Brain, Coursera, and AI Fund. He discusses the critical role of scale in deep learning, the necessity of…
1h 29m -
Vladimir Vapnik: Predicates, Intelligence & Plato
In this episode, computer scientist Vladimir Vapnik shares his profound vision for the future of artificial intelligence. Moving beyond current deep learning trends, he argues that the essence of intelligence lies in discovering a small, u…
1h 45m -
YouTube Algorithm, Search, Discovery and Content Strategy
This episode explores the mechanics and philosophy behind the YouTube algorithm with VP of Engineering Christos Goudreau. The conversation covers how recommendation systems utilize collaborative filtering and user behavior signals to balan…
1h 31m -
Sebastian Thrun: Robotics, AI, and Future Technology
In this extensive conversation, Sebastian Thrun explores the transformative power of artificial intelligence, autonomous vehicles, and online education. He discusses the shift from traditional rule-based programming to machine learning, hi…
1h 19m -
Rohit Prasad: Amazon Alexa and the Frontiers of AI
Rohit Prasad, head scientist of Amazon Alexa, explores the philosophical and technical evolution of voice-based AI. He argues that the future of artificial intelligence lies in moving beyond simple command execution toward fluid, goal-orie…
1h 46m -
Algorithmic Ethics, Fairness, and Privacy with Michael Kearns
Professor Michael Kearns delves into the critical intersection of computer science, ethics, and human society. The conversation moves beyond mere technical definitions to explore how algorithms can be engineered to uphold societal values. …
1h 49m -
Peter Norvig: Artificial Intelligence, History and Future
In this episode, Peter Norvig explores the evolution of artificial intelligence, from the early days of symbolic logic to today's data-driven deep learning era. He discusses the significance of his textbook, Artificial Intelligence: A Mode…
1h 03m -
Machine Learning and AI in Oncology and Drug Discovery
In this episode, Dr. Regina Barzilay explores the profound intersection of machine learning, oncology, and drug discovery. Reflecting on her personal battle with cancer, she shares how she shifted her focus from abstract academic problems …
1h 17m -
Jan LeCun: Deep Learning, Reasoning, and the Future of AI
Jan LeCun, a pioneer of deep learning, discusses the fundamental principles of building intelligent machines. He argues that intelligence is inseparable from learning and that current neural network architectures, while powerful, need to e…
1h 16m -
George Hotz: Autonomous Vehicles, AI, and the Future
George Hotz, the legendary hacker and founder of Kama AI, engages in a wide-ranging discussion on the future of technology, artificial intelligence, and autonomous driving. Hotz advocates for a shift away from legacy industry standards, fa…
1h 59m -
Kevin Scott: Microsoft, AI, Platforms, and Future Tech
Kevin Scott, the CTO of Microsoft, provides a comprehensive overview of the company's diverse technological landscape, spanning from cloud and hardware to advanced research in AI and economics. The discussion highlights Microsoft's evoluti…
57m 55s -
Music Streaming, Personalization, and AI with Spotify
In this insightful conversation, Gustav Soderstrom, Head of R&D at Spotify, explores how the company has fundamentally reshaped the way society experiences audio. The discussion traverses the history of music consumption, highlighting how …
1h 47m -
Engineering TensorFlow: Machine Learning at Google Scale
In this insightful episode, Rajat Manga, engineering director for Google’s TensorFlow team, explores the transformation of machine learning from early, proprietary experiments like Disbelief to today’s global, open-source standard. The dis…
1h 11m -
Chris Lattner: Compilers, LLVM, Swift, and AI
Chris Lattner, a seminal figure in computer science, discusses his journey through compiler technology, tracing the evolution from the University of Illinois research that spawned LLVM to his influential work at Apple and Google. He explai…
1h 13m -
Deep Learning and the Future of AI with Oriol Vinales
In this insightful conversation, Google DeepMind research scientist Oriol Vinales explores the intersection of deep learning and human-competitive gaming. The episode provides a comprehensive look at the architecture of AlphaStar, the AI t…
1h 46m -
Deep Learning and GANs: Expert Insights with Ian Goodfellow
In this insightful conversation, Ian Goodfellow, the inventor of Generative Adversarial Networks (GANs), discusses the foundational concepts and future of deep learning. He redefines deep learning as a sophisticated, multi-step program rat…
1h 08m -
Autonomous Future: Building the Next Generation of AI
In this episode, Kyle Vogt, the co-founder of Twitch and Cruise, explores his journey from early robotics experiments to leading one of the most significant efforts in artificial intelligence today. He discusses the evolution of autonomous…
55m 34s -
Thomas Sandholm: AI Game Theory & Solving Poker
In this episode, Thomas Sandholm explores his work on Libratus, an AI system that conquered the complex, imperfect information game of Texas Hold'em. By moving beyond traditional game benchmarks, Sandholm discusses how game theory and stra…
1h 06m -
Vladimir Vapnik: Learning Theory, Intelligence & Invariance
In this episode, Vladimir Vapnik, a pioneer of statistical learning theory, explores the intersection of mathematics, intelligence, and the fundamental nature of learning. Vapnik provides a trenchant critique of modern deep learning, argui…
54m 12s -
Yoshua Bengio on the Future of Deep Learning and AI
In this engaging episode, Yoshua Bengio discusses the limitations of current deep learning architectures, emphasizing that simple scaling is insufficient for human-level artificial intelligence. He argues for a shift towards active agents …
42m 54s
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