20-23 May 2019
Facility for Rare Isotope Beams
America/New_York timezone

The FRIB-TA Summer School: Machine Learning Applied to Nuclear Physics will take place at the Facility for Rare Isotope Beams (FRIB) on the Michigan State University campus in East Lansing, MI from May 20 to 23, 2019, in room 1200 Laboratory.

Machine Learning (ML) is one of the most exciting and dynamic areas of modern research and application. The purpose of this summer school is to provide an introduction to the core concepts and tools of machine learning in a manner easily understood and intuitive to physicists and nuclear physicists in particular. We will start with some of the basic methods from supervised learning, such as various regression methods before we move into deep learning methods for both supervised and unsupervised learning.

We plan hands-on sessions in the afternoons where relevant software is presented, allowing thereby the participants to get started with machine learning algorithms. We will emphasize widely used Python packages like scikit-learn, Tensorflow and Keras.

The school is organized by the FRIB Theory Alliance. For selected participants we hope to provide partial support which may include lodging and meals. We will not provide support for transportation expenses.

Facility for Rare Isotope Beams
640 South Shaw Lane, East Lansing, MI 48824

Scientific Inquires:
Morten Hjorth-Jensen
Professor of Physics
Tel. 517-908-7290
Email: hjensen@frib.msu.edu

Administrative Inquires:
Gillian Olson
Research Administrator
Tel. 517-908-7806

Facility for Rare Isotope Beams
Michigan State University
640 South Shaw Lane
East Lansing, MI 48824, USA

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