Subvolts take Explore Google's AI research cycle and its impact on science with Google Research VP Yossi Matias. Jun 22, 2026
For you
Developers
Learn about advanced AI techniques like speculative decoding and generative UI used in Google's research.
Business
Understand how Google translates AI research into real-world impact across various sectors, including science and forecasting.
Hype note
3/5Notable

This interview features a key leader from Google Research discussing their AI advancements and future directions.

Google AI: Release Notes Episode Official · Google

Yossi Matias on the golden age of research

1 h 12 Interview Hosts: Logan Kilpatrick
0:001:11:34

Audio streams from Google AI. Your place is remembered on this device.

From Subvolts

Summary and analysis by Subvolts editorial, AI-assisted.

Summary

Google Research VP Yossi Matias discusses Google's research process, from breakthroughs to real-world applications. Host Logan Kilpatrick explores topics like flood forecasting, MedGemma, and the new Gemini for Science. The conversation covers AI tools for scientific discovery, speculative decoding, generative UI, and quantum computing milestones.

Explained simply

Google's head of research talks about how they turn big ideas into helpful tools. They discuss using AI for things like predicting floods and helping scientists make discoveries faster, showing how smart computers can aid human progress.

Why listen

This episode offers insight into how Google conducts large-scale AI research and translates it into practical applications. It's for anyone interested in the future of AI in science and technology, from researchers to business leaders. The discussion on Gemini for Science and AI tools for discovery directly relates to current efforts by Google and other frontier labs to accelerate scientific progress with AI.

On the mic
  • HostLogan Kilpatrick
  • GuestYossi MatiasVice President at Google and Head of Google Research, Google
About
Key facts
  • Guest: Yossi Matias, Vice President at Google and Head of Google Research
  • Show: Google AI: Release Notes
  • Host: Logan Kilpatrick
  • Length: 72 minutes
  • Topics Covered: Research cycle, flood forecasting, MedGemma, Gemini for Science, Co-Scientist, ERA, speculative decoding, generative UI, quantum computing, Willow chip
Show notes from Google AI
Yossi Matias, Vice President at Google and Head of Google Research, joins host Logan Kilpatrick for a wide-ranging conversation about what it means to do research at Google scale. Their conversation explores the "magic cycle” of research from breakthrough Yossi Matias, Vice President at Google and Head of Google Research, joins host Logan Kilpatrick for a wide-ranging conversation about what it means to do research at Google scale. Their conversation explores the "magic cycle” of research from breakthrough to real-world impact across flood forecasting, MedGemma, and the just-launched Gemini for Science. Learn more about AI tools for scientific discovery including Co-Scientist and Empirical Research Assistance (ERA), and topics like speculative decoding, generative UI, and quantum computing milestones including the Willow chip. Watch on YouTube: https://www.youtube.com/watch?v=FPBwadTeph0&t=1s
Jargon decoded
MedGemma
Yossi Matias
A Google AI project likely related to medical applications.
Gemini for Science
Yossi Matias
A version of Google's Gemini AI specifically designed for scientific research.
speculative decoding
Yossi Matias
A technique to speed up AI model generation by predicting future outputs.
generative UI
Yossi Matias
User interfaces created or enhanced by AI, often for design or content generation.
Published
Show
Google AI: Release Notes · Google AI
Length
1 h 12
Companies
Google
Products
Gemini for Science, MedGemma, Co-Scientist, ERA, Willow chip
Summary by
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Questions people ask

What is the 'magic cycle' of research?
The episode explores the research cycle from breakthrough discoveries to their application in the real world.
What AI tools for scientific discovery are discussed?
The conversation mentions tools like Co-Scientist and Empirical Research Assistance (ERA) for scientific discovery.

Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to Google AI.