DeepMind’s Journey from Games to Fundamental Science

October 21, 2020

Demis Hassabis, CEO and co-founder of DeepMind, dreams of using AI to solve fundamental problems in science. He joins Azeem Azhar to explore his own journey from world champion gamer to neuroscientist to building AI systems that can train themselves to solve real-world engineering challenges and, eventually, make Nobel-prize winning discoveries.

They also discuss:

  • Why games are the perfect training ground for AI algorithms.
  • How DeepMind combines the dynamism of a startup with the “blue sky” creativity of a lab.
  • Why “deep reinforcement learning” is the basis for artificial intelligence systems.

Further reading:

@demishassabis

@Azeem

@exponentialview

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HBR Presents is a network of podcasts curated by HBR editors, bringing you the best business ideas from the leading minds in management. The views and opinions expressed are solely those of the authors and do not necessarily reflect the official policy or position of Harvard Business Review or its affiliates.

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