Winter Meeting, Wednesday 6th December, 10.00am – 5.00pm, Imperial College London
Artificial Intelligence and Complexity: What can AI do for physics and what can physics do for AI?
AI isn’t magic, but to many physicists working in complexity science it might as well be! This all-day meeting is an opportunity for non-specialists to experience an introduction to the central concepts and open research questions in this fast-progressing field. The aim of the event is to explore links between approaches in the field of complexity science and those in AI, and to consider how AI could play a role in solving the hardest problems in physics.
- Elucidating the underlying principles of AI, giving concrete examples which bring them to life.
- Cutting edge problems in AI from a physicist’s perspective.
- Applications of AI to problems in physics: opportunities, challenges and limitations.
- Professor Tobias Preis (University of Warwick)
- Ilya Feige (ASI Data Science)
- Marc Deisenroth (Imperial College London)
The meeting is open to all, with particular emphasis on the members of the IOP group and general members. This includes undergraduate and graduate students as well as academics.
To register your attendance please go to https://www.iopconferences.org/iop/1192/home
Please send abstracts to Matt Garrod at firstname.lastname@example.org
The event will be held in the EPSRC CDT suit. This is on the 4th floor of the Sherfield building. A map of how to get to the building and the room. A map of the campus can be found here. Directions to the CDT suit can be found here.
9:45 – 10:00 – Welcome and Coffee
10:00 – 10:50 – Ilya Feige -Neural Networks are simple
10:50 – 11:10 – Contributed talks
11:10 – 11:30 – Coffee Break
11:30 – 12:20 – Ilya Feige – Training Neural Networks is hard
12:20 – 13:00 – Contributed talks
13:00 – 14:00 – Lunch
14:00 – 14:50 – Marc Deisenroth – Taming Complex Systems with Machine Learning
14:50 – 15:30 – Contributed talks
15:30 – 16:00 – Coffee Break
16:00 – 17:00 – Tobias Preis – Measuring and predicting human behavior using online data
17:00 – 18:30 – General discussion and Drinks reception