SIMIS-APCTP meeting: AI methods in Theoretical Physics

Asia/Shanghai
18F Conference Hall (SIMIS)

18F Conference Hall

SIMIS

Shanghai Institute for Mathematics and Interdisciplinary Sciences Block A, International Innovation Plaza No. 657 Songhu Road, Yangpu District Shanghai, China
Georgios Linardopoulos (Shanghai Institute for Mathematics and Interdisciplinary Sciences (SIMIS)), Zhesen Yang (APCTP)
Description

Artificial intelligence (AI), machine learning (ML), and deep learning (DL) provide a broad array of very powerful tools which can be used to tackle a wide variety of problems in theoretical high-energy physics. The two-day (mini) SIMIS-APCTP workshop on “AI methods in Theoretical Physics” will host talks from Theoretical Physics researchers whose current research focuses on the application and development of AI methods in High-Energy Theoretical Physics. Indicative topics include the identification and classification of Calabi-Yau geometric structures, the reconstruction of holographic geometries from boundary data sets, as well as the solution of key equations of Theoretical Physics such as the Bethe or the Yang-Baxter equations with the use of AI techniques.

The agenda of this meeting is empty