We are delighted to announce the call for papers for the International

Conference on Scientific Computing and Machine Learning (SCML2024,

http://scml.jp ), which will be held in Kyoto (and online) in Japan

from March 19 to 23, 2024.

In recent years, machine learning methods for scientific computing,

such as physics-informed neural networks and operator learning, have

attracted much attention. Many methods are based on machine learning

and/or theories of physics and/or computational mathematics. This

conference aims to showcase the latest research in these areas, which

have been fragmented while pursuing research in the same direction,

thereby bridging the gap between them and promoting collaboration.

The deadline for submission is January 7 (but it may be postponed for

a week or so.) For more information, please visit: http://scml.jp