Subvolts take AI is supercharging science, from protein folding to weather, with Google DeepMind leading the charge. Oct 9, 2024
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This episode features a key leader from a top AI lab discussing significant, real-world scientific applications of their research.

Google DeepMind: The Podcast · Ep 6 Episode Official · Google

AI: Supercharging Scientific Exploration with Pushmeet Kohli

47 min Interview Hosts: Hannah Fry
0:0047:04

Audio streams from Hannah Fry. Your place is remembered on this device.

From Subvolts

Summary and analysis by Subvolts editorial, AI-assisted.

Summary

Google DeepMind VP Pushmeet Kohli joins Hannah Fry on the Google DeepMind podcast to explore AI's role in scientific discovery. They discuss AI's impact on breakthroughs in areas like protein folding with AlphaFold, material science, weather forecasting via GraphCast, and mathematics with AlphaGeometry. The episode highlights how AI enhances scientific understanding across various fields.

Explained simply

This episode explains how powerful computer programs, like those at Google DeepMind, are helping scientists make discoveries faster. They use AI to find new materials, predict weather more accurately, and even solve complex math problems, which helps us understand the world better.

Why listen

This episode offers insight into how leading AI research, specifically from Google DeepMind, is accelerating scientific progress. It's for anyone interested in AI's practical applications beyond consumer tech, showing how models are pushing the boundaries of fields like biology, chemistry, and physics. The discussion connects directly to the frontier labs' focus on using AI for grand challenges, demonstrating tangible results from their research efforts.

On the mic
  • HostHannah Fry
  • GuestPushmeet KohliVP of Research, Google DeepMind
About
Key facts
  • Guest: Pushmeet Kohli, VP of Research at Google DeepMind
  • Show: Google DeepMind: The Podcast
  • Length: 47 minutes
  • Topics Covered: AlphaFold, material science, weather forecasting (GraphCast), mathematics (AlphaGeometry)
Show notes from Hannah Fry

In this episode, Professor Hannah Fry sits down with Pushmeet Kohli, VP of Research at Google DeepMind to discuss AI’s impact on scientific discovery. They go on a whirlwind tour of scientific projects, touching on recent breakthroughs in AlphaFold, material science, weather forecasting, and mathematics to better understand how AI can enhance our scientific understanding of the world.

Further reading:

Thanks to everyone who made this possible, including but not limited to: 

  • Presenter: Professor Hannah Fry
  • Series Producer: Dan Hardoon
  • Editor: Rami Tzabar, TellTale Studios 
  • Commissioner & Producer: Emma Yousif
  • Music composition: Eleni Shaw
  • Camera Director and Video Editor: Tommy Bruce
  • Audio Engineer: Perry Rogantin
  • Video Studio Production: Nicholas Duke
  • Video Editor: Bilal Merhi
  • Video Production Design: James Barton
  • Visual Identity and Design: Eleanor Tomlinson
  • Production support: Mo Dawoud 
  • Commissioned by Google DeepMind

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Jargon decoded
AlphaFold
Pushmeet Kohli
An AI system that predicts protein structures.
GraphCast
Pushmeet Kohli
An AI model for faster and more accurate global weather forecasting.
AlphaGeometry
Pushmeet Kohli
An AI system that can solve geometry problems at an Olympiad level.
Published
Show
Google DeepMind: The Podcast · Hannah Fry
Length
47 min
Companies
Google
Products
AlphaFold, GraphCast, AlphaGeometry
Summary by
Subvolts, using an AI model (how we work). Spotted a mistake? Tell us.

Same guests, other shows

Questions people ask

What scientific areas does AI impact according to the episode?
The episode touches on AI's impact on protein folding (AlphaFold), material science, weather forecasting (GraphCast), and mathematics (AlphaGeometry).
Who is interviewed on the podcast?
The episode features an interview with Pushmeet Kohli, VP of Research at Google DeepMind, hosted by Professor Hannah Fry.

Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to Hannah Fry.