- #160 -16Wissenschaft
- #144beste Platzierung
- monatlichErscheinungsrhythmus
- 47 mintypische Länge
- 1. Okt.letzte Folge
Join mathematician and broadcaster Professor Hannah Fry as she goes behind the scenes of the world-leading research lab to uncover the extraordinary ways AI is transforming our world. No hype. No spin, just compelling discussions and grand scientific ambition.
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From deepfakes to DNA: the science of watermarking AI
Learn how invisible, mathematical watermarks help trace AI provenance, protect against misuse, and safeguard protein sequence design without impacting biological function. Timecodes: 00:00 Introduction 00:34 What is a watermark? 04:35 Synth
Can AI help us better predict the weather?
Can artificial intelligence solve one of science’s most chaotic physics puzzles? In this episode, Professor Hannah Fry sits down with Peter Battaglia, Senior Director of Research at Google DeepMind, to explore how machine learning is transf
The mathematics of AI uncertainty
Now, if you ask an AI a question, it will usually give you an absolute answer with unwavering authority, even if that answer turns out to be wrong. In fact, today's AI seems to be missing a fundamental human trait: self-doubt. Long before t
Understanding the inner thoughts of AI
Neel and his team are trying to do something phenomenally difficult: understand an intelligence that didn't come with a manual. Together, they explore the cutting-edge "neuroscience" of artificial intelligence—revealing the surprising, eleg
When millions of AI agents meet
Timecodes: • 00:00 Intro • 1:07 Defining AI agents • 4:44 Agentic exploration in science and research • 15:46 Delegation between agents • 22:46 Agentic security and traps • 29:31 Building an agentic economy • 33:22 Cognitive monoculture • 3
10 Years of AlphaGo: The Turning Point for AI | Thore Graepel & Pushmeet Kohli
Seoul, March 2016. Two players sit hunched over a 19x19 grid covered in a sea of black and white stones. They are playing the ancient game of Go - a game of unimaginable complexity long thought impossible for a machine to master. On one sid
The Future of Intelligence with Demis Hassabis (Co-founder and CEO of DeepMind)
Thanks for joining us this year. 🔔 Subscribe to stay updated on our return in 2026, and revisit our episode library to catch up on everything from driverless cars to drug discovery: https://www.youtube.com/playlist?list=PLqYmG7hTraZBiUr6_Q
The Arrival of AGI with Shane Legg (co-founder of DeepMind)
Further reading Levels of AGI paper: https://arxiv.org/abs/2311.02462 The road to AGI (Google DeepMind Podcast, S2): https://youtu.be/Uy4OYU7PQYA Thanks to everyone who made this possible, including but not limited to: • Presenter: Professo
AlphaFold: Grand Challenge to Nobel Prize with John Jumper
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 n
Waymo: The future of autonomous driving with Vincent Vanhoucke
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 Yo
Pt.2 Beyond Phishing: Cyber Threats in the Age of AI with Four Flynn
In part two, Hannah and Four tackle the human element at the heart of cybersecurity: Who are the bad actors, and what motivates them? They dissect the evolving strategies designed to stop social engineering attacks - like passkeys and risk-
Pt.1 Beyond Phishing: Cyber Threats in the Age of AI with Four Flynn
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/ • Thre
Genie 3: An Infinite World Model with Shlomi Fruchter and Jack Parker-Holder
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
A Whistle Stop Tour of AI Creation with Paige Bailey
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
The Nature of AI: Solving the Planet's Data Gap with Drew Purves
Further reading: • Natural forests of the world: paper (https://sciety.org/articles/activity/10.31223/x5zx6p), data and benchmarks (https://github.com/google-deepmind/forest_typology) • Forest loss drivers: paper, (https://iopscience.iop.or
A Quest for a Cure: AI Drug Design with Isomorphic Labs
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 fiel
Redefining Robotics with Carolina Parada
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
AI and the Future of Health with Joelle Barral
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 expansio
Consciousness, Reasoning and the Philosophy of AI with Murray Shanahan
In this episode, Hannah is once again joined by Murray Shanahan, Professor of Cognitive Robotics at Imperial College London and Principal Scientist at Google DeepMind, for a philosophical deep dive on AI. They explore everything from consci
Is Human Data Enough? With David Silver
In this episode of Google DeepMind: The Podcast, VP of Reinforcement Learning, David Silver, describes his vision for the future of AI, exploring the concept of the "era of experience" versus the current "era of human data". Using AlphaGo a
Project Astra: Exploring a Universal AI Assistant with Greg Wayne
In our final episode for the year, we explore Project Astra, a research prototype exploring future capabilities of a universal AI assistant that can understand the world around you. Host Hannah Fry is joined by Greg Wayne, Director in Resea
Gemini 2.0 and the Evolution of Agentic AI with Oriol Vinyals
In this episode, Hannah is joined by Oriol Vinyals, VP of Drastic Research and Gemini co-lead. They discuss the evolution of agents from single-task models to more general-purpose models capable of broader applications, like Gemini. Vinyals
The Balancing Act: Regulation & AI with Nicklas Lundblad
There is broad consensus across the tech industry, governments and society, that as artificial intelligence becomes more embedded in every aspect of our world, regulation will be essential. But what does this look like? Can it be adopted wi
Inside NotebookLM with Raiza Martin and Steven Johnson
NotebookLM is a research assistant powered by Gemini that draws on expertise from storytelling to present information in an engaging way. It allows users to upload their own documents and generate insights, explanations, and—more recently—p
AI for Science with Sir Paul Nurse, Demis Hassabis, Jennifer Doudna, and John Jumper
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, pl
The Ethics of AI Assistants with Iason Gabriel
Imagine a future where we interact regularly with a range of advanced artificial intelligence (AI) assistants — and where millions of assistants interact with each other on our behalf. These experiences and interactions may soon become part
AI in the Classroom with Irina Jurenka
How human should an AI tutor be? What does ‘good’ teaching look like? Will AI lead in the classroom, or take a back seat to human instruction? Will everyone have their own personalized AI tutor? Join research lead, Irina Jurenka, and Profes
AI: Supercharging Scientific Exploration with Pushmeet Kohli
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 A
Gaming, Goats & General Intelligence with Frederic Besse
Games are a very good training ground for agents. Think about it. Perfectly packaged, neatly constrained environments where agents can run wild, work out the rules for themselves, and learn how to handle autonomy. In this episode, Research
Decoding Google Gemini with Jeff Dean
Professor Hannah Fry is joined by Jeff Dean, one of the most legendary figures in computer science and chief scientist of Google DeepMind and Google Research. Jeff was instrumental to the field in the late 1990s, writing the code that trans
