DeepMind: The Podcast

Informações:

Synopsis

This eight part series, hosted by mathematician and broadcaster Hannah Fry, aims to give listeners an inside look at the fascinating world of AI research and explores some of the questions and challenges the whole field is wrestling with today.

Episodes

  • Demis Hassabis: The interview

    17/09/2019 Duration: 36min

    In this special extended episode, Hannah Fry meets Demis Hassabis, the CEO and co-founder of DeepMind. She digs into his former life as a chess player, games designer and neuroscientist and explores how his love of chess helped him to get start-up funding, what drives him and his vision, and why AI keeps him up at night.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 problemQuanta magazine: How Artificial Intelligence Is Changing ScienceDemis Hassabis: A systems neuroscience approach to building AGI. Talk at the 2010 Singularity Summit Demis Hassabis: The power of self-learning systems. Talk at MIT 2019Demis Hassabis: Talk on Creativity and AI Financial Times: The mind in the machine: Demis Hassabis on artificial intelligence (2017)The Times: Interview with Demis HassabisThe Economist Babbage podcast: DeepMind GamesInterview wit

  • Towards the future

    10/09/2019 Duration: 26min

    AI researchers around the world are trying to create a general purpose learning system that can learn to solve a broad range of problems without being taught how. Koray Kavukcuoglu, DeepMind’s Director of Research, describes the journey to get there, and takes Hannah on a whistle-stop tour of DeepMind’s HQ and its research.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:OpenAI: An overview of neural networks and the progress that has been made in AIShane Legg, DeepMind co-founder: Measuring machine intelligence at the 2010 Singularity SummitShane Legg and Marcus Hutter: Paper on defining machine intelligenceDemis Hassabis: Talk on the history, frontiers and capabilities of AIRobert Wiblin: Positively shaping the development of artificial intelligenceAsilomar AI PrinciplesRichard S. Sutton and Andrew G. Barto: Reinforcement Learning: An IntroductionInterviewees: Koray Kavukcuoglu, Director of Re

  • AI for everyone

    03/09/2019 Duration: 29min

    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

  • Out of the lab

    27/08/2019 Duration: 31min

    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

  • AI, Robot

    20/08/2019 Duration: 32min

    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

  • Life is like a game

    20/08/2019 Duration: 26min

    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

  • Go to Zero

    20/08/2019 Duration: 25min

    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

  • AI and Neuroscience: The virtuous circle

    20/08/2019 Duration: 34min

    What can the human brain teach us about AI? And what can AI teach us about our own intelligence? These questions underpin a lot of AI research. In this first episode, Hannah meets the DeepMind Neuroscience team to explore these connections and discovers how our brains are like birds’ wings, what training a dog and an AI agent have in common, and why the simplest things for people to do are, paradoxically, often the hardest for machines.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 readingBBC: An AI playlistWait But Why: The AI RevolutionCoursera: AI for everyoneMedium: Machine Learning for HumansGoogle Arts & Culture: 25 moments that have defined AIRoyal Society: What is Machine Learning?The Algorithm: A weeklyemail newsletter from MIT Tech ReviewDeepMind blog: neuroscience and AI: a virtuous circleNature: Far-sighted birds plan breakfast the evening beforeInterviewees in this episode: Deepmind C

  • DeepMind: The Podcast - trailer

    12/08/2019 Duration: 03min

    Selected as “New and Noteworthy” by Apple Podcasts, the highly-praised, award-nominated first season of "DeepMind: The Podcast" explores the fascinating world of artificial intelligence (AI). Join mathematician and broadcaster Hannah Fry as she meets world-class scientists and thinkers as they explain the foundations of AI, explore some of the challenges the field is wrestling with, and dives into the research that's led to breakthroughs like AlphaGo and AlphaFold. Whether you’re a beginner or an experienced researcher, join our journey into the past, present, and future of AI. “I hope what people are going to get out of this series is a better understanding of artificial intelligence, and I hope they also get a great feeling for how exhilarating an endeavour and a journey we’re on.” - Demis Hassabis, CEO and co-founder of DeepMind 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.