About
Abstract: Frontier AI is advancing rapidly: the simulated physics of Genie, planetary-level species and climate modeling, and the embodied AI of Robotics are breaking new ground. We are on the precipice of unlocking more advances in these areas, and the vision extends further. I will discuss the opportunities and the challenges: AI has established new paradigms for understanding our physical world, yet there are important questions about the methods, the results, and the changing roles of scientists.
Bio: Raia joined Google DeepMind in 2014 to advance its mission to build AI responsibly to benefit humanity. After a decade of contributions in continual learning, reinforcement learning, and robotics, she is now a VP of Research, overseeing groundbreaking research at Google DeepMind. Raia leads numerous teams exploring new AI innovations and models for critical challenges, such as weather and climate modeling. As a respected change leader in the broader AI community, Raia serves as an AI Ambassador for the UK government, and was the founder and first Editor-in-Chief of a new open journal, Transactions on Machine Learning Research (TMLR).
This seminar is part of the CERN STEAM Academy Seminar Series.
Networking cocktail will follow the seminar.
With the support of CERN's Next Generation Triggers Project.
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The talk
Credits and licence
- Institution
- CERN
- Speaker
- Raia Dr Hadsell
- Year
- 2026
- Language
- English
- Subjects
- Computer science
- Source
- CERN
- Licence
- CERN, as CERN states it. CERN's terms
- Attribution
- © CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
- Who can watch
- CERN gives no rating. Invisible Network shows it to Tweens profiles and older, judged from what the source says about it. How courses are placed