Oriol Vinyals: DeepMind AlphaStar, StarCraft, Language, and Sequences

Oriol Vinyals: DeepMind AlphaStar, StarCraft, Language, and Sequences

Oriol Vinyals is a senior research scientist at Google DeepMind. Before that he was at Google Brain and Berkeley. His research has been cited over 39,000 times. He is one of the most brilliant and impactful minds in the field of deep learning. He is behind some of the biggest papers and ideas in AI, including sequence to sequence learning, audio generation, image captioning, neural machine translation, and reinforcement learning. He is a co-lead (with David Silver) of the AlphaStar project, creating an agent that defeated a top professional at the game of StarCraft. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn, Facebook, Medium, or YouTube where you can watch the video versions of these conversations.

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Episoder(497)

#73 – Andrew Ng: Deep Learning, Education, and Real-World AI

#73 – Andrew Ng: Deep Learning, Education, and Real-World AI

Andrew Ng is one of the most impactful educators, researchers, innovators, and leaders in artificial intelligence and technology space in general. He co-founded Coursera and Google Brain, launched dee...

20 Feb 20201h 29min

#72 – Scott Aaronson: Quantum Computing

#72 – Scott Aaronson: Quantum Computing

Scott Aaronson is a professor at UT Austin, director of its Quantum Information Center, and previously a professor at MIT. His research interests center around the capabilities and limits of quantum c...

17 Feb 20201h 34min

Vladimir Vapnik: Predicates, Invariants, and the Essence of Intelligence

Vladimir Vapnik: Predicates, Invariants, and the Essence of Intelligence

Vladimir Vapnik is the co-inventor of support vector machines, support vector clustering, VC theory, and many foundational ideas in statistical learning. He was born in the Soviet Union, worked at the...

14 Feb 20201h 45min

Jim Keller: Moore’s Law, Microprocessors, Abstractions, and First Principles

Jim Keller: Moore’s Law, Microprocessors, Abstractions, and First Principles

Jim Keller is a legendary microprocessor engineer, having worked at AMD, Apple, Tesla, and now Intel. He’s known for his work on the AMD K7, K8, K12 and Zen microarchitectures, Apple A4, A5 processors...

5 Feb 20201h 35min

David Chalmers: The Hard Problem of Consciousness

David Chalmers: The Hard Problem of Consciousness

David Chalmers is a philosopher and cognitive scientist specializing in philosophy of mind, philosophy of language, and consciousness. He is perhaps best known for formulating the hard problem of cons...

29 Jan 20201h 39min

Cristos Goodrow: YouTube Algorithm

Cristos Goodrow: YouTube Algorithm

Cristos Goodrow is VP of Engineering at Google and head of Search and Discovery at YouTube (aka YouTube Algorithm). This conversation is part of the Artificial Intelligence podcast. If you would like ...

25 Jan 20201h 31min

Paul Krugman: Economics of Innovation, Automation, Safety Nets & Universal Basic Income

Paul Krugman: Economics of Innovation, Automation, Safety Nets & Universal Basic Income

Paul Krugman is a Nobel Prize winner in economics, professor at CUNY, and columnist at the New York Times. His academic work centers around international economics, economic geography, liquidity traps...

21 Jan 20201h 3min

Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems

Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems

Ayanna Howard is a roboticist and professor at Georgia Tech, director of Human-Automation Systems lab, with research interests in human-robot interaction, assistive robots in the home, therapy gaming ...

17 Jan 20201h 40min

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