LMS/IMA Joint Meeting 2023: The Mathematical Foundations of Artificial Intelligence

Location
In person in the Hardy Room, De Morgan House and online via Zoom
Start date
-
Meeting Date
Speakers
Michael Bronstein (University of Oxford), Lisa Kreusser (University of Bath), Gitta Kutyniok (LMU München), David Saad (Aston University) and Petar Veličković (DeepMind and University of Cambridge)

LMS/IMA Joint Meeting 2023

The LMS is delighted to announce the 2023 LMS/IMA Joint Meeting on 'The Mathematical Foundations of Artificial Intelligence'. We welcome all who are interested to attend this event, with registration open both to LMS/IMA Members and to non-members.

Artificial Intelligence is a rapidly evolving field that is already having a great societal impact thanks to the unprecedented performance of deep neural networks and AI generative models. The technological success of AI is boosting research on the mathematical foundations of AI which builds on an already rich history of important mathematical results and encompasses many areas, including physics-inspired machine learning, statistical physics, Bayesian, deep, and reinforcement learning, among others.

The LMS/IMA Conference on The Mathematical Foundations of AI aims at bringing together top mathematicians and computer scientists working in both the academic and the private sectors to highlight key developments in the field. We foresee stimulating discussions and exchange of ideas on this exciting and fast-developing field that will contribute to changing the landscape of the field and shape future research directions.


Programme (all timings in BST)

Organising Committee; Ginestra Bianconi (Queen Mary University of London), James Davenport (University of Bath), András Juhász (University of Oxford).

The meeting will comprise five lectures:

Michael Bronstein (University of Oxford) - Physics-inspired graph neural networks

Lisa Kreusser (University of Bath) - Differential equations for machine learning

Gitta Kutyniok (LMU München) - Reliable AI: Successes, Challenges, and Limitations

David Saad (Aston University) - The Space of Functions Computed by Deep-learning Networks

Petar Veličković (DeepMind and University of Cambridge) - Capturing Computation with Algorithmic Alignment

plus

Full programme TBC.


Accessibility

The building currently has stepped access only to the raised ground floor and lower ground floor entrances

An accessible toilet is located at lower ground floor level.

Please see the LMS website for further details on accessibility


Registration

  • In-person registration for this event is now closed as we have reached capacity. If you would like to be added to the waiting list, please contact lmsmeetings@lms.ac.uk
     
  • To attend remotely, please complete the registration form here. Registration will close no later than 18:00 on Friday 13 October. You will receive the link to the meeting upon registration, as well as an automated reminder email sent closer to the time.
     
  • A Society Dinner will take place after the meeting, open to both LMS members and non-LMS members. To attend the LMS Annual Dinner please complete the registration form. The cost of the dinner will be £48.00 per person, inclusive of wine/soft drinks, with payment to be made in advance of the event. Further details about how to pay will be provided in the confirmation email after registration.
     
  • If you have any queries on any of the above, please contact lmsmeetings@lms.ac.uk