Applications of Machine Learning in Theoretical Physics

Akio Tomiya^1*

¹Physics department, Riken Brookhaven research center(RBRC), Upton, New York, USA

* Presenter:Akio Tomiya, email:akio.tomiya@riken.jp

Recent developments in machine learning have led to a variety of theoretical physics area. Machine learning has been beginning to be applied. I will focus on theoretical physics, mostly particle physics, and various recent applications will be introduced in this talk by physicist language. Also, I will also discuss what initiatives are needed in the next decade.

Keywords: Machine learning, Particle physics, Lattice QCD