Episodes: 52
Frequency: Irregular
Rating: 4.8/5.0
Estimated listeners: 10,000 - 100,000
Listener location: United Kingdom
YouTube: 898.0k subscribers
Instagram: 355.0k followers
Publicly listed emails
emmayousif@google.com
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Hannah Fry - Professor Hannah Fry is a mathematician, author, broadcaster, and professor at University College London known for explaining complex mathematical and scientific ideas to broad audiences.
Peter Battaglia - Machine Learning For Weather Forecasting, Graphcast, Weathernext, Probabilistic Forecasting, And Climate-related Applications
Zoubin Ghahramani - Uncertainty In Artificial Intelligence, Bayesian Machine Learning, Model Confidence, And The Future Of AI Research
Thore Graepel - Alphago, Reinforcement Learning, The Development Of Modern AI, And Scientific Breakthroughs Enabled By AI
Pushmeet Kohli - Alphago, Reinforcement Learning, Algorithmic Discovery, And AI Applications In Scientific Research
From deepfakes to DNA: the science of watermarking AI
October 01, 2026
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 SynthID15:16 Images and video 19:28 SynthID Bio28:00 Future of resilience Learn more about SynthID Bio: https://deepmind.google/blog/introducing-synthid-bio/ Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episo...
Can AI help us better predict the weather?
September 09, 2026
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 transforming global weather forecasting. From providing critical early warnings for Category 5 storms like Hurricane Melissa to predicting renewable energy supply and agricultural impacts, see how models like GraphCast and WeatherNext 3 are building upon decades ...
The mathematics of AI uncertainty
August 26, 2026
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 the current wave of large language models, one academic researcher was trying to give machines a sense of their own limitations. Zoubin Ghahramani has spent the last 30 years pioneering a type of intelligence built on the mathematics of uncertainty. Today, a...
Google DeepMind: The Podcast is hosted by Hannah Fry. Its publicly listed email is emmayousif@google.com. For guest bookings, the host or producer is usually the best person to reach. Podseeker helps you find direct host and producer contacts and pitch from your own inbox.
The publicly listed email for Google DeepMind: The Podcast: emmayousif@google.com.
Podseeker estimates Google DeepMind: The Podcast reaches 10,000 to 100,000 listeners per episode. Only the publisher has exact numbers.
Google DeepMind: The Podcast typically books industry leaders. Typical guest background: Senior artificial intelligence researchers, university professors, distinguished research scientists, and technology or science leaders with direct expertise in frontier AI systems and their applications. Common among recent guests: Leadership of major artificial intelligence research programs; Development of influential AI systems or methods; University professorships or distinguished research positions. Recent guests include Peter Battaglia, Zoubin Ghahramani, and Thore Graepel.
Very high. It mostly books well-known names.
Recent episodes cover Technology, Artificial Intelligence, Machine Learning, Ai Safety, and Ai Research. Pitch an idea tied to one of these topics and mention a recent episode.
Publicly listed emails
emmayousif@google.com
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