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Features the CEO of a leading AI lab and Nobel laureates discussing AI's impact on fundamental scientific research.
AI for Science with Sir Paul Nurse, Demis Hassabis, Jennifer Doudna, and John Jumper
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From Subvolts
Summary and analysis by Subvolts editorial, AI-assisted.
Google DeepMind CEO Demis Hassabis joins Hannah Fry on "AI for Science" to discuss AI's role in scientific discovery. Topics include nuclear pore complexes, plastic-eating enzymes, and quantum computing. Nobel laureates Sir Paul Nurse, Jennifer Doudna, and John Jumper also answer audience questions about AI's future in science.
This podcast episode explores how computers that learn are helping scientists make new discoveries. They discuss using AI to understand complex biological problems and even develop new materials, showing how technology can speed up research.
This episode offers insight into how AI is accelerating scientific breakthroughs, a key focus for Google DeepMind. It's for researchers, scientists, and anyone interested in AI's practical applications beyond consumer tech. The discussion highlights Google's commitment to using AI for fundamental research, aligning with the broader trend of major AI labs investing heavily in scientific discovery.
- HostHannah Fry
- GuestSir Paul Nurse
- GuestDemis HassabisCEO, Google DeepMind
- GuestJennifer Doudna
- GuestJohn Jumper
- Episode Title: AI for Science with Sir Paul Nurse, Demis Hassabis, Jennifer Doudna, and John Jumper
- Show: Google DeepMind: The Podcast
- Length: 54 minutes
- Key Topics: Nuclear pore complex, plastic-eating enzymes, quantum computing, Turing machines
Join Professor Hannah Fry at the AI for Science Forum for a fascinating conversation with Google DeepMind CEO Demis Hassabis. They explore how AI is revolutionizing scientific discovery, delving into topics like the nuclear pore complex, plastic-eating enzymes, quantum computing, and the surprising power of Turing machines. The episode also features a special 'ask me anything' session with Nobel Laureates Sir Paul Nurse, Jennifer Doudna, and John Jumper, who answer audience questions about the future of AI in science.
Watch the episode here, and catch up on all of the sessions from the AI for Science Forum here.
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- nuclear pore complex
- Demis Hassabis
- tiny channels in cell nuclei that control what goes in and out
- Turing machines
- Demis Hassabis
- a theoretical model of computation that forms the basis of modern computers
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Questions people ask
- What specific scientific areas are being impacted by AI?
- AI is revolutionizing discovery in areas like the nuclear pore complex, plastic-eating enzymes, and quantum computing.
- Who are the Nobel laureates featured in the episode?
- The episode includes Nobel laureates Sir Paul Nurse, Jennifer Doudna, and John Jumper in a special Q&A session.
Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to Hannah Fry.




