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Tagged “Deep Learning”
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Oriol Vinyals: DeepMind AI, Gato, and the Future of AGI
In this episode, DeepMind research director Oriol Vinyals discusses the frontier of artificial intelligence, focusing on generalist models like Gato and the importance of modularity in scaling capabilities. Vinyals highlights the shift fro…
2h 15m -
Jan LeCun: Self-Supervised Learning & Future of AI
Jan LeCun explores the critical role of self-supervised learning as the foundation for AGI. By moving beyond labeled data and reinforcement learning, AI can learn to build world models, gaining common sense through observation. The episode…
2h 51m -
Wojciech Zaremba: OpenAI, AGI, Consciousness, and Love
In this expansive dialogue, Wojciech Zaremba, co-founder of OpenAI, provides a deep dive into the engineering and philosophical foundations of Artificial General Intelligence. Exploring the intersection of mathematics and consciousness, Za…
2h 58m -
Eugenia Kuyda: Loneliness, Love, and Replika AI
This episode features a conversation with Eugenia Kuyda, co-founder of Replika, about the intersection of AI, emotional health, and the human condition. They dive deep into the phenomenon of loneliness, examining its physiological impact a…
3h 01m -
François Chollet: On the Measure of Intelligence
François Chollet, a renowned engineer and philosopher in the field of artificial intelligence, explores the definitions and measurements of human and artificial intelligence. He critically examines the contemporary reliance on large-scale …
2h 34m -
Computer Vision Fundamentals and Future Directions with Jitendra Malik
In this engaging discussion, Jitendra Malik, a pillar of computer vision research, explores why traditional AI approaches often misunderstand the core challenges of vision. By drawing parallels to child development, he argues against the r…
1h 42m -
Ilya Sutskever: Deep Learning and the Future of AI
In this extensive conversation, Ilya Sutskever discusses the transformative journey of deep learning from its early, underestimated days to its current state of radical success. He explores the empirical necessity of combining massive comp…
1h 37m -
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 -
Daniel Kahneman: Thinking Fast and Slow, AI, and Humanity
This episode features a profound exploration of human cognition and its implications for artificial intelligence. Daniel Kahneman explains his iconic framework of System 1 (instinctive, fast thinking) and System 2 (deliberative, logical th…
1h 19m -
Melanie Mitchell: Artificial Intelligence and Analogy
Melanie Mitchell discusses the state of artificial intelligence, emphasizing that the field, while impressive in narrow tasks, lacks a true understanding of human-level cognition. She posits that the analogy-making process is at the core o…
1h 53m -
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 -
Mathematics and Linear Algebra with Gilbert Strang
In this insightful conversation, MIT professor Gilbert Strang explores the immense beauty and practical significance of linear algebra. He contrasts it with traditional calculus, arguing that since the world is increasingly data-driven, li…
50m 16s -
Gary Marcus: The Limits of Deep Learning and AI Future
Gary Marcus argues that while Deep Learning is effective for narrow tasks, it lacks the abstract reasoning required for true artificial general intelligence. He highlights the failure of modern AI to grasp common sense, causality, and phys…
1h 25m -
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 -
François Chollet: Keras, AGI, and the Future of AI
François Chollet, the creator of Keras and a world-class AI researcher, provides a thought-provoking analysis of the current AI landscape, critiquing the widely held theory of the intelligence explosion. He argues that intelligence is inhe…
56m 57s -
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 -
Democratizing Deep Learning with Jeremy Howard
Jeremy Howard, the founder of Fast.ai, discusses his mission to democratize deep learning by focusing on practical, hands-on applications rather than academic gatekeeping. He argues that most breakthrough potential lies in empowering domai…
1h 44m -
Jeff Hawkins: The Thousand Brains Theory of Intelligence
Jeff Hawkins discusses his Thousand Brains Theory of Intelligence, proposing that the brain processes information through a distributed network of cortical columns that organize data within reference frames. Hawkins argues that current AI,…
2h 09m -
Adobe Research and the Future of AI with Gavin Miller
In this episode, Gavin Miller, head of Adobe Research, provides a fascinating look into how artificial intelligence is reshaping the world of creative software. He discusses the shift from manual pixel manipulation to conceptual, idea-driv…
1h 09m -
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 -
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 -
Greg Brockman: The Path to AGI at OpenAI
Greg Brockman, CTO and co-founder of OpenAI, discusses the organization's mission to develop safe and beneficial Artificial General Intelligence. He explores the concept of intelligence as an information-processing phenomenon and emphasize…
1h 25m -
Unlocking the Nature of Intelligence with Tommaso Poggio
Tommaso Poggio, a pioneering figure at MIT, provides an in-depth exploration of the mystery of intelligence, drawing connections between biological brain function and artificial neural networks. He argues that intelligence is the most prof…
1h 20m
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