Learn more about AlphaFold: https://deepmind.google/science/alphafold/

Watch the story behind AlphaFold in The Thinking Game, now available for free: https://youtu.be/d95J8yzvjbQ

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

• Presenter: Professor Hannah Fry
• Series Producer: Dan Hardoon
• Editor: Rami Tzabar
• Commissioner & Producer: Emma Yousif
• Music composition: Eleni Shaw
• Audio engineer: Richard Courtice
• Video editor: Anthony Le
• Audio engineer: Perry Rogantin
• Visual identity: Rob Ashley
• Commissioned by Google DeepMind

Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new idea or a guest recommendation! 

Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Learn more about Waymo: https://waymo.com/

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

• Presenter: Professor Hannah Fry
• Series Producer: Dan Hardoon
• Editor: Rami Tzabar
• Commissioner & Producer: Emma Yousif
• Music composition: Eleni Shaw
• Audio engineer: Richard Courtice
• Video editor: Anthony Le
• Audio engineer: Perry Rogantin
• Visual identity: Rob Ashley
• Commissioned by Google DeepMind

Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new idea or a guest recommendation! 

Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Further reading:

• CodeMender: https://deepmind.google/discover/blog/introducing-codemender-an-ai-agent-for-code-security/
• Cybersecurity at Google: https://blog.google/technology/safety-security/ai-security-frontier-strategy-tools/
• Threat intelligence report: https://cloud.google.com/blog/topics/threat-intelligence/adversarial-misuse-generative-ai

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

• Presenter: Professor Hannah Fry 
• Series Producer: Dan Hardoon 
• Editor: Rami Tzabar 
• Commissioner & Producer: Emma Yousif 
• Music composition: Eleni Shaw 
• Audio engineer: Richard Courtice 
• Video editor: Bilal Merhi 
• Audio engineer: Perry Rogantin 
• Visual identity: Rob Ashley 
• Commissioned by Google DeepMind

Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new idea or a guest recommendation! 

Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode, Professor Hannah Fry speaks with Jack Parker-Holder and Shlomi Fruchter about Genie 3, a general-purpose world model that can generate an unprecedented diversity of interactive environments. The conversation covers how this model's auto-regressive nature allows for the creation of consistent, explorable worlds from text or image prompts, and how its capabilities differ from video generation models like Veo. 

Further reading

• Genie 3
• SIMA, A generalist AI agent for 3D virtual environments
• SIMA, Google DeepMind: The Podcast
• xLand

Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new idea or a guest recommendation! 

Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

This week's episode is a slight departure from our usual deep dives. Join Paige Bailey, DevRel lead, as she guides Hannah Fry though some of her favorite AI tools. Having spent years understanding the 'what' of these models, Hannah finally gets to experience the 'how’ – from generating prompts and 'vibe coding', to creating her own version of the infamous spaghetti meme.

Learn more and try the tools yourself:

• Gemini: https://gemini.google.com/
• Google Labs: https://labs.google/
• AI Studio: https://aistudio.google.com/
• Veo 3: https://deepmind.google/models/veo/
• Flow: https://labs.google/flow/

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

• Presenter: Professor Hannah Fry
• Series Producer: Dan Hardoon
• Editor: Rami Tzabar
• Commissioner & Producer: Emma Yousif
• Music composition: Eleni Shaw
• Audio engineer: Richard Courtice
• Production Manager: Dan Lazard
• Studio Manager: Nicholas Duke
• Video Director: Bernardo Resende
• Video Editor: Bilal Merhi
• Audio Engineer: Perry Rogantin
• Camera and Lighting Operator: Robert Messere
• Production Coordination: Zoey Roberts, Sarah Ellen Morton
• Visual Identity and Design: Rob Ashley
• Commissioned by Google DeepMind

Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new idea or a guest recommendation! 

Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Further reading:

• Natural forests of the world: paper, data and benchmarks
• Forest loss drivers: paper, summary from WRI, and blog from GFW
• Forest loss drivers code: Google Earth Engine; at WRI; at GFW; or Zenodo. 
• Deep learning based remote sensing (open source): Jeo, GeeFlow
• Species mapping paper: Arxiv
• Google resources: Google Earth Engine. Agri with Google, wildlife cameras
• Perch: code, paper
• Perch x coral reefs: Blog
• Agile Modelling: paper, code
• DolphinGemma: blog

Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new idea or a guest recommendation! 

Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode, host Hannah Fry is joined by Max Jaderberg and Rebecca Paul of Isomorphic Labs to explore the future of drug discovery in the age of AI. They discuss how new technology, particularly AlphaFold 3, is revolutionizing the field by predicting the structure of life’s molecules, paving the way for faster and more efficient drug discovery.

They dig into the immense complexities of designing new drugs: How do you find the right molecular key for the right biological lock? How can AI help scientists understand disease better and overcome challenges like drug toxicity? And what about the diseases that are currently considered “undruggable”? Finally, they explore the ultimate impact of this technology, from the future of personalised medicine to the ambitious goal of being able to eventually design treatments for all diseases.

Further reading: 

• AlphaFold 3: https://www.nature.com/articles/s41586-024-07487-w 
• AlphaFold Server: https://alphafoldserver.com/ 
• Isomorphic Labs: https://www.isomorphiclabs.com/ 
• AlphaFold 3 code and weights: https://github.com/google-deepmind/alphafold3

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

• Presenter: Professor Hannah Fry 
• Series Producer: Dan Hardoon 
• Editor: Rami Tzabar 
• Commissioner & Producer: Emma Yousif 
• Music composition: Eleni Shaw 
• Audio engineer: Richard Courtice 
• Production Manager: Dan Lazard 
• Studio Manager: Nicholas Duke 
• Video Director: Bernardo Resende 
• Video Editor: Bilal Merhi 
• Audio Engineer: Perry Rogantin 
• Camera and Lighting Operator: Robert Messere 
• Production Coordination: Zoey Roberts, Sarah Ellen Morton 
• Visual Identity and Design: Rob Ashley 
• Commissioned by Google DeepMind

Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new idea or a guest recommendation! 

Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode, Hannah is joined by Carolina Parada, Senior Director and Head of Robotics at Google DeepMind. They explore the recent leap forward in robotic capabilities, highlighting advancements in multimodal understanding and embodied reasoning, which enable robots to interact with the physical world with unprecedented generality.

They dig into the two-system approach - ‘slow and fast thinking‘ - that enables both complex reasoning and rapid, reactive movements. Using examples from robots learning dexterous tasks such as tying shoelaces to adapting to entirely new scenarios in real-time, Parada highlights how key breakthroughs in understanding, dexterity, and control are now coming together to rapidly advance robotics unlike ever before.

Further reading/viewing:

• Gemini Robotics
• Advances in robot dexterity
• Gemini Robotics x YouTube 

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

• Presenter: Professor Hannah Fry
• Series Producer: Dan Hardoon
• Editor: Rami Tzabar
• Commissioner & Producer: Emma Yousif
• Music: Eleni Shaw
• Audio Engineer: Richard Courtice
• Production Manager: Dan Lazard
• Video Studio Production: Nicholas Duke Video
• Director: Bernardo Resende
• Video Editor: Bilal Merhi
• Audio Engineer: Perry Rogantin
• Camera and Lighting Operator: Robert Messere
• Production Coordination: Zoey Roberts, Sarah Ellen Morton
• Visual Identity and Design: Rob Ashley
• Commissioned by Google DeepMind

Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new idea or a guest recommendation!

Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new idea or a guest recommendation! 

Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode, Professor Hannah Fry interviews Joelle Barral, Senior Director of Research at Google DeepMind, about AI in healthcare. They discuss existing AI applications including image analysis for diabetic retinopathy and the expansion of diagnostic tools as a result of multi-modal models. The conversation highlights AI's potential to improve healthcare delivery, personalize treatment, expand access worldwide, and ultimately, bring back the joy of practicing medicine.

Further reading:

• Med-Gemini 
• AMIE

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

• Presenter: Professor Hannah Fry
• Series Producer: Dan Hardoon
• Editor: Rami Tzabar
• Commissioner & Producer: Emma Yousif
• Music: Eleni Shaw
• Audio Engineer: Richard Courtice
• Production Manager: Dan Lazard
• Video Studio Production: Nicholas Duke Video
• Director: Bernardo Resende
• Video Editor: Bilal Merhi
• Audio Engineer: Perry Rogantin
• Camera and Lighting Operator: Robert Messere
• Production Coordination: Zoey Roberts, Sarah Ellen Morton
• Visual Identity and Design: Rob Ashley
• Commissioned by Google DeepMind

Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new idea or a guest recommendation! 

Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.