Distinguished Lecture - hosted by UKRI CDT in Natural Language Processing

The lecture, in G07 from 3-4pm, will be followed by a reception until 5pm in the Atrium.

Note: the event is only open to students & staff of the University of Edinburgh.

Beyond chatbots: Modeling the unknown

Abstract:

Large language models (LLMs) have introduced the world to some of the possibilities of artificial intelligence (AI). But similar types of models powering today’s chatbots, also have a profound ability to model many complex systems beyond language. Raia Hadsell, VP of Research at Google DeepMind, will explore how AI is helping to understand the human body, global weather and even Earth itself.

Bio:

Raia joined Google DeepMind in 2014 to advance its mission to build AGI safely for the benefit of humanity. After a decade of contributions in continual learning, reinforcement learning, and robotics, she now serves as VP of Research, overseeing foundational and exploratory 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 was also a founder and first Editor-in-Chief of a new open journal, Transactions on Machine learning Research (TMLR).

Please note:

Accessibility: Please let us know if you have any mobility, visual, or hearing requirements for attending this event, do let us know by contacting: cdt-nlp-info@inf.ed.ac.uk

If you would like to attend with BSL interpreters, please let us know asap by contacting cdt-nlp-info@inf.ed.ac.uk We acknowledge this event is being promoted close to its date and so it may be hard to find BSL interpreters. If you would like to come with BSL interpreters, please let us know and we will do everything we can to make arrangements: cdt-nlp-info@inf.ed.ac.uk

Photography/Recording: The event may be recorded through to the start of the Q&A session and may be photographed for promotional and recruitment purposes for use by the University and its approved third parties. If you do not wish to appear in photos/recordings, please notify the organisers on arrival or email: cdt-nlp-info@inf.ed.ac.uk