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.
Watermarking AI-generated content serves as a vital mechanism for establishing provenance and mitigating risks in an era where machine-generated outputs are increasingly indistinguishable from reality. Pushmeet Kohli, VP of Science at Google DeepMind, and biosecurity researcher Jeremy Radcliffe detail how SynthID embed...
AI-driven weather forecasting is transforming meteorological accuracy by shifting from traditional numerical simulations of fluid dynamics to statistical learning models that identify complex patterns in historical data. Unlike conventional supercomputer-based methods that approximate physics equations at coarse scales...
AI systems currently prioritize scale over the fundamental human trait of self-doubt, resulting in overconfident and often inaccurate outputs. Integrating probabilistic reasoning—specifically Bayesian methods—allows machines to represent their own limitations and update beliefs based on new evidence. This shift is esse...
Interpretability serves as the neuroscience of artificial intelligence, aiming to reverse-engineer the complex, emergent logic within neural networks. By peering into these "black boxes," researchers like Neel Nanda, who leads the language model interpretability team at Google DeepMind, seek to map vast arrays of numer...
AI agents represent a fundamental shift from passive language models to autonomous systems capable of observing environments and executing multi-step tasks. Unlike LLMs that merely generate text, agents utilize "harnesses" to interact with tools, necessitating human oversight to mitigate failure rates and prevent autom...
The pivotal 2016 AlphaGo match against Lee Sedol and its lasting impact on AI research are examined. The victory demonstrated AI's capacity to surpass human knowledge, exemplified by AlphaGo's innovative "move 37." Thore Graepel, a key architect of AlphaGo, recounts the team's journey, while Pushmeet Kohli explains how...
In this episode of the Google DeepMind podcast, Professor Hannah Fry interviews Demis Hassabis, CEO and co-founder of Google DeepMind, about the current state and future directions of AI. They discuss the rapid advancements in AI, including models like Gemini 3 and the development of world models, and touch on the prog...
In this episode of the Google DeepMind podcast, Professor Hannah Fry interviews Shane Legg, Chief AGI Scientist and co-founder of Google DeepMind, about the definition, recognition, safety, ethics, and societal impact of Artificial General Intelligence (AGI). Legg defines AGI as an AI that can perform cognitive tasks a...
In this episode of Google DeepMind: The Podcast, Professor Hannah Fry interviews John Jumper, a Nobel laureate, about AlphaFold, an AI system that predicts protein structures. Jumper recounts the experience of winning the Nobel Prize and reflects on his career. The conversation covers the impact and evolution of AlphaF...
In this episode of the Google DeepMind podcast, Professor Hannah Fry interviews Vincent Vanhoucke, a distinguished engineer from Waymo, about the complexities of developing autonomous vehicles. They discuss the challenges of creating AI that can perceive and react to the real world through various sensors like cameras,...
In the second part of a conversation with Four Flynn, VP of Security at Google DeepMind, host Hannah Fry pivots the discussion to the human side of cybersecurity, including the motivations and types of bad actors, such as nation-states and financially motivated groups. They explore the gray areas of vulnerability explo...
In this episode of Google DeepMind: The Podcast, Professor Hannah Fry interviews Four Flynn, VP of Security at Google DeepMind, about the history and future of cybersecurity. Flynn recounts his experiences during Operation Aurora, a major cyber attack on Google, and discusses the evolution of security strategies from t...
In this episode of the Google DeepMind Podcast, Professor Hannah Fry interviews Shlomi Fruchter and Jack Parker-Holder, the creators of Genie 3, an interactive world model. They discuss Genie 3's capabilities, including generating diverse, visually interesting worlds from text prompts or images, its potential applicati...
In this episode of the Google DeepMind podcast, host Hannah Fry interviews Paige Bailey, AI developer relations engineering lead at Google DeepMind, about the latest AI tools, focusing on advancements in Veo 3, Gemini, and AI Studio. They compare the original Veo model with Veo 3, highlighting improvements in sound, ph...
In this episode of the Google DeepMind podcast, Professor Hannah Fry interviews Drew Purves, Nature Lead at Google DeepMind, about the application of AI in protecting the planet's ecosystems. They discuss how AI can address the lack of information hindering conservation efforts by mapping biodiversity, identifying area...
In this episode of Google DeepMind: The Podcast, Professor Hannah Fry interviews Rebecca Paul, Head of Medicinal Drug Design, and Max Jaderberg, Chief AI Officer at Isomorphic Labs, about the application of AI in drug design. They discuss how AI, particularly models like AlphaFold, is revolutionizing the process by pre...
In this episode of the Google DeepMind podcast, host Hannah Fry interviews Carolina Parada, the lead of robotics research at Google DeepMind, about the evolution and future of AI in robotics. Parada discusses the advancements made, including the introduction of LLMs, VLMs, and Gemini Robotics, which brings multimodal u...
This episode explores the transformative potential of AI in healthcare, featuring Joelle Barral from Google DeepMind, who discusses AI's role in augmenting medical practices rather than replacing them. Barral highlights the evolution of AI from basic image recognition tasks, such as segmenting the larynx, to more compl...
This episode explores the philosophical implications and evolving understanding of artificial intelligence, featuring Murray Shanahan, Professor of Cognitive Robotics, who shares his insights on AI's progress and its impact on our perception of intelligence and consciousness. Shanahan reflects on the predictive accurac...
This episode explores the concept of the "era of experience" in AI, advocating for a shift from relying on human data to AI systems learning through their own interactions and self-generated experiences. David Silver argues that while large language models have made significant strides by assimilating vast amounts of h...
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