Thanks to recent development of computer science and computational science, machine learning has impacted not only on data science, but also on physics, chemistry, and materials science. The computational science alliance holds a summer school on machine learning, Computational Science Alliance Summer School 2018—Machine Learning and Computational Science, to seize the opportunity.
From usage of GPGPU that has attracted much attention as a hardware for machine learning, an standard optimization scheme in machine learning, Bayesian optimization, to cutting-edge application of machine learning based on Boltzmann machine, let’s enjoy the lectures and exercise on machine learning.
Lectures and lecturers
0. “How to use supercomputer”
1. GPU computing by OpenACC and CUDA
Lecturer: Masaharu Matsumoto (Department of Computer Science)
2. Bayesian optimization
Lecturer: Ryo Tamura (Graduate School of Frontier Sciences)
3. Bolzmann machine and many-body problems
Lecturer: Yusuke Nomura (Department of Applied Physics)
4. Group work: Let’s solve your problems by machine learning
Schedule and Venue
Start: August 22th, 2018, Close: August 24th, 2018
Exercise room, B1F of Fukutake Hall, Hongo campus (to be confirmed)
*The summer school is surely held in Hongo campus.
Deadline: August 10th