Large Language Models reached the threshold of becoming useful tools in scientific research. Moreover, they have actually surpassed the capabilities of humans in many concrete tasks. This has a disruptive effect in all of science, and theoretical physics is one of the subjects that is already being affected now.
The goal of this workshop is to bring together scientists working in mathematical and statistical physics, and to discuss the immense possibilities and potential problems that this technology brings about.
The event will host invited talks, contributed talks, and discussion sessions.
Key topics:
-Scientific results in our research areas, achieved in most part with AI.
-Experiences with using AI, discussion of the different technologies.
-Discussion sessions about the issues/problems that this technology brings about (teaching, publication systems, hiring researchers, etc)
-Coordination of collective efforts, in order to solve major problems in our research areas.
-Coordination of efforts towards formalizations (Lean).
Invited speakers:
Kohei Fukai (RIKEN iTHEMS, Wako)
Yi Gu (Cambridge) (online)
Felix Huber (University of Gdańsk)
Nat Levine (University of Amsterdam)
Fedor Levkovich-Maslyuk (City St George's, University of London)
Yuchen Liao (University of Science and Technology of China, Hefei)
Chihiro Matsui (The University of Tokyo)
Bartosz Naskręcki (Adam Mickiewicz University, Poznań)
Evgeny Sobko (London Institute for Mathematical Sciences)
Naoto Shiraishi (The University of Tokyo)
Hal Tasaki (Gakushuin University, Tokyo) (online)
Matthias Wilhelm (University of Southern Denmark, Odense) (online)
Masahito Yamazaki (The University of Tokyo, Kavli IPMU)
Francesco Zamponi (Sapienza Università di Roma) (online)
The event is free of charge, but registration is required. In-person attendance is limited to 120 persons.
The conference will be hybrid. Online participants must also register to receive the livestream link.
Organizers:
Balázs Pozsgay (ELTE, Budapest)
Márton Kormos (BME, Budapest)
István Vona (Wigner, Budapest)
Tomaž Prosen (University of Ljubljana)
