Artificial Intelligence & Machine Learning for Fundamental Science
First Virtual Meeting
Monday 15th November - Wednesday 17th November 2021
9am-11am (UK time) / 6-8pm (Korea time)
Organisers: Gert Aarts (Swansea University) and Seyong Kim (Sejong University)
In the past ten years or so the use of Artificial Intelligence and in particular Machine Learning has seen a dramatic increase in physics and astronomy. Image classification, signal processing and real-time data selection rely on the recognition of patterns in very large data sets, e.g., in the context of particle physics at the Large Hadron Collider or gravitational wave detection from neutron star/black hole mergers as seen by LIGO/Virgo. More recently, ML methods are also being developed to speed up numerical Monte Carlo approaches relying on high-performance computing (HPC), e.g., in numerical statistical mechanics and lattice Quantum Chromodynamics. Reversely, the methodology of statistical mechanics and the Monte Carlo approach (exactness, detailed balance, histogram reweighting, renormalization group) is being transferred to the ML community, to provide a fresh impetus to clarify the successes of the approach. Due to the similarities of questions asked, a cross-disciplinary approach in, e.g., image classification, links the physical and medical sciences, leading to unexpected connections between those usually separated disciplines. And finally, a longer-term goal is to fuse ML and quantum computing as quantum machine learning, which would lead to a dramatic speed-up and new, not yet explored, possibilities.
In order to build capacity, bridge gaps across disciplines, and develop a common framework, in this project we bring together researchers based in Korea and in the UK via three meetings: a virtual one, one hosted in Korea, and one hosted in the UK.
Practicalities for the first virtual meeting
- The meeting will run over three days: Monday 15/11, Tuesday 16/11 and Wednesday 17/11 2021.
- Every day the meeting will take place during 9am-11am (UK time) / 6-8pm (Korea time), using zoom.
- The purpose of the meeting is exchange scientific ideas and interests.
- To enable networking and discussion, we plan a short sets of talks for each day: 30+5' opening talk, three or four 15+5' talks, with further discussion in zoom breakout rooms.
- One aim of the meeting is to determine the scope of the two follow-up face-to-face meetings.
- This project is aligned to the activities taking place within AIMLAC, the UKRI Centre for Doctoral Training in Artificial Intelligence, Machine Learning & Advanced Computing.
- We gratefully thank our sponsors: the National Research Foundation of Korea, the British Embassy Seoul, and the UK Science & Innovation Network for this opportunity.
- For more information, please send an email to Seyong ( skim @ sejong.ac.kr) or Gert (g.aarts @ swanse.ac.uk).
The programme can be found here.
List of participants
- Dan Archambault - Swansea University
- Dimitrios Bachtis - Swansea University
- Sahar Basiri Esfajani - Swansea University
- Alejandro Bermudez - Universidad Complutense de Madrid
- Lydia Bullock - Swansea University
- Kihyeon Cho - Korea Institute of Science and Technology Information
- Debika Chowdhury - Swansea University
- Myles Clayton - Aberystwyth University
- Steve Conlan - Swansea University
- Tom Crick - Swansea University
- Tonicha Crook - Swansea University
- Tim Davis - Cardiff University
- Jeonghwan Go - Kyung Hee University
- Luke Golby - Swansea University
- Lukas Golino - Swansea University
- Simon Hands - University of Liverpool
- Hyeong-Chai Jeong - Sejong University
- Gunn Kim - Sejong University
- Hyunsoo Kim - Sejong University
- Sun Kee Kim - Seoul National University
- Yongsun Kim - Sejong University
- Donghun Lee - Korea University
- Jason Lee - University of Seoul
- Biagio Lucini - Swansea University
- Niels Madsen - Swansea University
- Chang-Seong Moon - Kyungpook National University
- Markus Mueller - Aachen University
- Carlos Nunez - Swansea University
- Chanyong Park - Gwangju Institute of Science and Technology
- Inkyu Park - University of Seoul
- Bishnu Paudel - Bangor University
- Alma Rahat - Swansea University
- Cristiano Sabiu - University of Seoul
- Sophie Sadler - Swansea University
- Lucas Schepers - Swansea University
- Natalia Sikora - Swansea University
- Shobnha Singh - Cardiff University
- Tom Spriggs - Swansea University
- Hattie Stewart - Bristol University
- Mark Thomas - Swansea University
- Gianmassimo Tasinato - Swansea University
- Matheus Torquato - Swansea University
- Dirk Van Der Werf - Swansea University
- Maurice Van Putten - Sejong University
- Ian James Watson - University of Seoul
- Hwidong Yoo - Yonsei University
- Ivonne Zavala - Swansea University
- Reyer Zwiggelaar - Aberystwyth University
- Seyong Kim - Sejong University
- Gert Aarts - Swansea University