PODCAST

DeepMind: The Podcast

Hannah Fry

Get the inside story of how AI is being created and uncover the extraordinary ways artificial intelligence (AI) is transforming our world. In the highly-praised, award-nominated "DeepMind: The Podcast", mathematician and broadcaster Hannah Fry goes behind the scenes of world-leading research lab DeepMind to find out how AI can benefit our lives and the society we live in. The first season explores the link between neuroscience and AI, the importance of games, and building safe AI. Now in its second season, Hannah uncovers how AI is accelerating science in critical areas, takes an in-depth look at building artificial general intelligence (AGI), and so much more.

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DeepMind: The Podcast with Hannah Fry – Season 2 coming soon!
Jan 10 2022
DeepMind: The Podcast with Hannah Fry – Season 2 coming soon!
The chart-topping podcast which uncovers the extraordinary ways artificial intelligence (AI) is transforming our world is back for a second season. Join mathematician and broadcaster Professor Hannah Fry behind the scenes of world-leading AI research lab DeepMind to get the inside story of how AI is being created – and how it can benefit our lives and the society we live in.Recorded over six months and featuring over 30 original interviews, including DeepMind co-founders Demis Hassabis and Shane Legg, the podcast gives listeners exclusive access to the brilliant people building the technology of the future. Throughout nine original episodes, Hannah discovers how DeepMind is using AI to advance science in critical areas, like solving a 50-year-old grand challenge in biology and developing nuclear fusion.Listeners hear stories of teaching robots to walk at home during lockdown, as well as using AI to forecast weather, help people regain their voices, and enhance game strategies with Liverpool Football Club. Hannah also takes an in-depth look at the challenges and potential of building artificial general intelligence (AGI) and explores what it takes to ensure AI is built to benefit society.“I hope this series gives people a better understanding of AI and a feeling for just how exhilarating an endeavour it is.” – Demis Hassabis, CEO and Co-Founder of DeepMindFor questions or feedback on the series, message us on Twitter @DeepMind or email podcast@deepmind.com.CreditsPresenter: Hannah FrySeries Producer: Dan HardoonProduction support: Jill AchinekuSounds design: Emma BarnabyMusic composition: Eleni ShawSound Engineer: Nigel AppletonEditor: David PrestCommissioned by DeepMind
Me, myself and AI
Feb 22 2022
Me, myself and AI
AI doesn’t just exist in the lab, it’s already solving a range of problems in the real world. In this episode, Hannah encounters a realistic recreation of her voice by WaveNet, the voice synthesising system that powers the Google Assistant and helps people with speech difficulties and illnesses regain their voices. Hannah also discovers how ‘deepfake’ technology can be used to improve weather forecasting and how DeepMind researchers are collaborating with Liverpool Football Club, aiming to take sports to the next level. For questions or feedback on the series, message us on Twitter @DeepMind or email podcast@deepmind.com.  Interviewees: DeepMind’s Demis Hassabis, Raia Hadsell, Karl Tuyls, Zach Gleicher & Jackson Broshear; Niall Robinson of the UK Met Office CreditsPresenter: Hannah FrySeries Producer: Dan HardoonProduction support: Jill AchinekuSounds design: Emma BarnabyMusic composition: Eleni ShawSound Engineer: Nigel AppletonEditor: David PrestCommissioned by DeepMind Thank you to everyone who made this season possible!  Further reading: A generative model for raw audio, DeepMind: case study, DeepMind: WaveNet technology to reunite speech-impaired users with their original voices, DeepMind:| Euphonia, Google Research: the next hour of rain, DeepMind: DeepMind is using AI to transform football, WIRED: sports analytics through AI, DeepMind: BBC: village ‘washed on to the map’, BBC: Fish got the storm of 1987 wrong, Sky News:
AI for science
Feb 16 2022
AI for science
Step inside DeepMind's laboratories and you'll find researchers studying DNA to understand the mysteries of life, seeking new ways to use nuclear energy, or putting AI to the test in mind-bending areas of maths. In this episode, Hannah meets Pushmeet Kohli, the head of science at DeepMind, to understand how AI is accelerating scientific progress. Listeners also join Hannah on a [virtual] safari in the Serengeti in East Africa to find out how researchers are using AI to conserve wildlife in one of the world’s most spectacular ecosystems.  For questions or feedback on the series, message us on Twitter @DeepMind or email podcast@deepmind.com.  Interviewees: DeepMind’s Demis Hassabis, Pushmeet Kohli & Sarah Jane Dunn; Meredith Palmer of the Princeton University CreditsPresenter: Hannah FrySeries Producer: Dan HardoonProduction support: Jill AchinekuSounds design: Emma BarnabyMusic composition: Eleni ShawSound Engineer: Nigel AppletonEditor: David PrestCommissioned by DeepMind Thank you to everyone who made this season possible!  Further reading:Using AI for scientific discovery, DeepMind: Demis Hassabis on its breakthrough scientific discoveries, WIRED: AI revolution in scientific research, The Royal Society: Explains...Tokamaks, Office of Science: AI Accidentally Learned Ecology by Playing StarCraft, Discover: AI can identify wildlife from trap-camera footage, VentureBeat: Serengeti, Zooniverse: Human Genome Project, National Human Genome Research Institute: the beauty of pure mathematics in novel ways, DeepMind: gene expression with AI, DeepMind: machine learning to accelerate ecological research, DeepMind: fusion science through learned plasma control, DeepMind: matter on the quantum scale with AI, DeepMind: AI is helping the natural sciences, Nature: DeepMind's epic mission to solve science's trickiest problem, WIRED: Artificial Intelligence Is Changing Science, Quanta:
Speaking of intelligence
Jan 25 2022
Speaking of intelligence
Hannah explores the potential of language models, the questions they raise, and if teaching a computer about language is enough to create artificial general intelligence (AGI). Beyond helping us communicate ideas, language plays a crucial role in memory, cooperation, and thinking – which is why AI researchers have long aimed to communicate with computers using natural language. Recently, there has been extraordinary progress using large-language models (LLM), which learn how to speak by processing huge amounts of data from the internet. The results can be very convincing, but pose significant ethical challenges.  For questions or feedback on the series, message us on Twitter @DeepMind or email podcast@deepmind.com.  Interviewees: DeepMind’s Geoffrey Irving, Chris Dyer, Angeliki Lazaridou, Lisa-Anne Hendriks & Laura Weidinger  CreditsPresenter: Hannah FrySeries Producer: Dan HardoonProduction support: Jill AchinekuSounds design: Emma BarnabyMusic composition: Eleni ShawSound Engineer: Nigel AppletonEditor: David PrestCommissioned by DeepMind Thank you to everyone who made this season possible!  Further reading: GPT-3 Powers the Next Generation of Apps, OpenAI: Mind the Computer 1983 about the ELIZA program, BBC: Large Language Models Will Transform Science, Society, and AI, Stanford University: in Detoxifying Language Models, DeepMind: Machine Language Models toward Human-Level Language Understanding, DeepMind: modelling at scale, DeepMind: general intelligence, Technology Review: Definition of Machine Intelligence by Shane Legg, arXiv: Russell - Living With Artificial Intelligence, BBC:
A breakthrough unfolds
Jan 25 2022
A breakthrough unfolds
In December 2019, DeepMind’s AI system, AlphaFold, solved a 50-year-old grand challenge in biology, known as the protein-folding problem. A headline in the journal Nature read, “It will change everything” and the President of the UK's Royal Society called it a “stunning advance [that arrived] decades before many in the field would have predicted”. In this episode, Hannah uncovers the inside story of AlphaFold from the people who made it happen and finds out how it could help transform the future of healthcare and medicine.For questions or feedback on the series, message us on Twitter @DeepMind or email podcast@deepmind.com. Interviewees: DeepMind’s Demis Hassabis, John Jumper, Kathryn Tunyasunakool and Sasha Brown; Charles Mowbray and Monique Wasuna of the Drugs for Neglected Diseases initiative (DNDi]) & John McGeehan of the Centre for Enzyme Innovation at the University of Portsmouth CreditsPresenter: Hannah FrySeries Producer: Dan HardoonProduction support: Jill AchinekuSounds design: Emma BarnabyMusic composition: Eleni ShawSound Engineer: Nigel AppletonEditor: David PrestCommissioned by DeepMind Thank you to everyone who made this season possible!  Further reading: AlphaFold blog, DeepMind: case study, DeepMind: will change everything, Nature: Is The Most Important Achievement In AI—Ever, Forbes: found to eat PET plastics, NewScientist: Structure Prediction Center: interview with Professor John McGeehan, BBSRC: McGeehan profile, University of Portsmouth: for Neglected Diseases initiative (DNDi): doctor’s dream, DNDi: Curious Cases of Rutherford and Fry, BBC: Fry:
DeepMind: The Podcast with Hannah Fry – Season 2 coming soon!
Jan 10 2022
DeepMind: The Podcast with Hannah Fry – Season 2 coming soon!
The chart-topping podcast which uncovers the extraordinary ways artificial intelligence (AI) is transforming our world is back for a second season. Join mathematician and broadcaster Professor Hannah Fry behind the scenes of world-leading AI research lab DeepMind to get the inside story of how AI is being created – and how it can benefit our lives and the society we live in.Recorded over six months and featuring over 30 original interviews, including DeepMind co-founders Demis Hassabis and Shane Legg, the podcast gives listeners exclusive access to the brilliant people building the technology of the future. Throughout nine original episodes, Hannah discovers how DeepMind is using AI to advance science in critical areas, like solving a 50-year-old grand challenge in biology and developing nuclear fusion.Listeners hear stories of teaching robots to walk at home during lockdown, as well as using AI to forecast weather, help people regain their voices, and enhance game strategies with Liverpool Football Club. Hannah also takes an in-depth look at the challenges and potential of building artificial general intelligence (AGI) and explores what it takes to ensure AI is built to benefit society.“I hope this series gives people a better understanding of AI and a feeling for just how exhilarating an endeavour it is.” – Demis Hassabis, CEO and Co-Founder of DeepMindFor questions or feedback on the series, message us on Twitter @DeepMind or email podcast@deepmind.com.CreditsPresenter: Hannah FrySeries Producer: Dan HardoonProduction support: Jill AchinekuSounds design: Emma BarnabyMusic composition: Eleni ShawSound Engineer: Nigel AppletonEditor: David PrestCommissioned by DeepMind
AI for everyone
Sep 3 2019
AI for everyone
While there is a lot of excitement about AI research, there are also concerns about the way it might be implemented, used and abused. In this episode Hannah investigates the more human side of the technology, some ethical issues around how it is developed and used, and the efforts to create a future of AI that works for everyone.If you have a question or feedback on the series, message us on Twitter (@DeepMind using the hashtag #DMpodcast) or email us at podcast@deepmind.com.Further reading:The Partnership on AIProPublica: investigation into machine bias in criminal sentencingScience Museum – free exhibition: Driverless: who is in control (until Oct 2020)Survival of the best fit: An interactive game that demonstrates some of the ways in which bias can be introduced into AI systems, in this case for hiringJoy Buolamwini: AI, Ain’t I a Woman: A spoken word piece exploring AI bias, and systems not recognising prominent black womenHannah Fry: Hello World - How to be Human in the Age of the MachineDeepMind: Safety and EthicsFuture of Humanity Institute: AI Governance:A Research AgendaInterviewees: Verity Harding, Co-Lead of DeepMind Ethics and Society; DeepMind’s COO Lila Ibrahim, and research scientists William Isaac and Silvia Chiappa.Credits:Presenter: Hannah FryEditor: David PrestSenior Producer: Louisa FieldProducers: Amy Racs, Dan HardoonBinaural Sound: Lucinda Mason-BrownMusic composition: Eleni Shaw (with help from Sander Dieleman and WaveNet)Commissioned by DeepMind
Out of the lab
Aug 27 2019
Out of the lab
The ambition of much of AI research is to create systems that can help to solve problems in the real world. In this episode, Hannah meets the people building systems that could be used to save the sight of thousands, help us solve one of the most fundamental problems in biology and reduce energy consumption in an effort to combat climate change. But whilst there is great potential, there are also important obstacles that will need to be tackled for AI to be used effectively, safely and fairly.If you have a question or feedback on the series, message us on Twitter (@DeepMind using the hashtag #DMpodcast) or email us at podcast@deepmind.com.Further reading:Wired: Inside DeepMind's epic mission to solve science's trickiest problemDeepMind blogs on the partnership with Moorfields NHS eye hospital and predicting eye disease, and Moorfields’ news announcement on its research with DeepMindDeepMind blog: AlphaFold: Using AI for scientific discoveryDeepMind blogs on reducing Google’s energy bill for datacentre cooling and how this project has progressedResearch paper: Tackling Climate Change with Machine LearningQuanta magazine: How Artificial Intelligence Is Changing ScienceDeepMind blog: How evolutionary selection can train more capable self-driving carsOther examples of the application of AI for real-world impact include:Francis Crick Institute: machine learning models that can help predict heart diseaseNASA: AUDREY machine learning system to better guide first responders through firesUniversity of Southern California: Protection Assistant for Wildlife Security using AI to help wildlife conservationInterviewees: Pearse Keane, consultant ophthalmologist at Moorfields Eye Hospital; Sandy Nelson, Product Manager for DeepMind’s Science Program; and DeepMind Program Manager Sims Witherspoon.Credits:Presenter: Hannah FryEditor: David PrestSenior Producer: Louisa FieldProducers: Amy Racs, Dan HardoonBinaural Sound: Lucinda Mason-BrownMusic composition: Eleni Shaw (with help from Sander Dieleman and WaveNet)Commissioned by DeepMind
AI, Robot
Aug 20 2019
AI, Robot
Forget what sci-fi has told you about superintelligent robots that are uncannily human-like; the reality is more prosaic. Inside DeepMind’s robotics laboratory, Hannah explores what researchers call ‘embodied AI’: robot arms that are learning tasks like picking up plastic bricks, which humans find comparatively easy. Discover the cutting-edge challenges of bringing AI and robotics together, and learning from scratch how to perform tasks. She also explores some of the key questions about using AI safely in the real world.If you have a question or feedback on the series, message us on Twitter (@DeepMind using the hashtag #DMpodcast) or email us at podcast@deepmind.com.Further reading:Blogs on AI safety and further resources from Victoria KrakovnaThe Future of Life Institute: The risks and benefits of AIThe Wall Street Journal: Protecting Against AI’s Existential ThreatTED Talks: Max Tegmark - How to get empowered, not overpowered, by AIRoyal Society lecture series sponsored by DeepMind: You & AINick Bostrom: Superintelligence: Paths, Dangers and Strategies (book)OpenAI: Learning from Human PreferencesDeepMind blog: Learning from human preferencesDeepMind blog: Learning by playing - how robots can tidy up after themselvesDeepMind blog: AI safetyInterviewees: Software engineer Jackie Kay and research scientists Murray Shanahan, Victoria Krakovna, Raia Hadsell and Jan Leike.Credits:Presenter: Hannah FryEditor: David PrestSenior Producer: Louisa FieldProducers: Amy Racs, Dan HardoonBinaural Sound: Lucinda Mason-BrownMusic composition: Eleni Shaw (with help from Sander Dieleman and WaveNet)Commissioned by DeepMind
Life is like a game
Aug 20 2019
Life is like a game
Video games have become a favourite tool for AI researchers to test the abilities of their systems. In this episode, Hannah sits down to play StarCraft II - a challenging video game that requires players to control the onscreen action with as many as 800 clicks a minute. She is guided by Oriol Vinyals, an ex-professional StarCraft player and research scientist at DeepMind, who explains how the program AlphaStar learnt to play the game and beat a top professional player. Elsewhere, she explores systems that are learning to cooperate in a digital version of the playground favourite ‘Capture the Flag’.If you have a question or feedback on the series, message us on Twitter (@DeepMind using the hashtag #DMpodcast) or emailing us at podcast@deepmind.com.Further readingThe Economist: Why AI researchers like video gamesDeepMind blogs: Capture the Flag and AlphastarProfessional StarCraft II player MaNa gives his impressions of AlphaStar and DeepMindOpen AI’s work on Dota 2 The New York Times: DeepMind can now beat us at multiplayer games, tooRoyal Society: Machine Learning resourcesDeepMind: The Inside Story of AlphaStar Andrej Karpathy: Deep Reinforcement Learning: Pong from PixelsInterviewees: Research scientists Max Jaderberg and Raia Hadsell; Lead researchers David Silver and Oriol Vinyals, and Director of Research Koray Kavukcuoglu.Credits:Presenter: Hannah FryEditor: David PrestSenior Producer: Louisa FieldProducers: Amy Racs, Dan HardoonBinaural Sound: Lucinda Mason-BrownMusic composition: Eleni Shaw (with help from Sander Dieleman and WaveNet)Commissioned by DeepMind
Go to Zero
Aug 20 2019
Go to Zero
In March 2016, more than 200 million people watched AlphaGo become first computer program to defeat a professional human player at the game of Go, a milestone in AI research that was considered to be a decade ahead of its time. Since then the team has continued to develop the system and recently unveiled AlphaZero: a program that has taught itself how to play chess, Go, and shogi. Hannah explores the inside story of both with Lead Researcher David Silver and finds out why games are a useful proving ground for AI researchers. She also meets Chess Grandmaster Matthew Sadler and women’s international master Natasha Regan, who have written a book on AlphaZero and its unique gameplay.If you have a question or feedback on the series, message us on Twitter (@DeepMind using the hashtag #DMpodcast) or email us at podcast@deepmind.com.Further readingAlphaGo the documentary The Surrounding Game: Documentary about the ancient game of GoDeepMind website: AlphaGoGarry Kasparov: Deep ThinkingAI: More than Human - Exhibition at the Barbican Centre, 2019 and online exhibitDeepMind blog: AlphaZero: Shedding new light on chess, shogi, and GoMatthew Sadler and Natasha Regan: Game Changer - a book about chess and AI WIRED: What the AI behind AlphaGo can teach us about being humanInterviewees: DeepMind CEO Demis Hassabis, Matthew Sadler, chess Grandmaster; Lead Researcher David Silver, Matt Botvinick, Director of Neuroscience Research; and Natasha Regan, women’s international chess master.Credits:Presenter: Hannah FryEditor: David PrestSenior Producer: Louisa FieldProducers: Amy Racs, Dan HardoonBinaural Sound: Lucinda Mason-BrownMusic composition: Eleni Shaw (with help from Sander Dieleman and WaveNet)Commissioned by DeepMind