2019 Los Alamos National Laboratory Applied Machine Learning/Applied Research in Earth Sciences (ARiES) Summer School
06/03/19 - 08/16/19
Los Alamos National Laboratory, Los Alamos
The theme topics for this summer school include
1. Scientific Machine Learning for Geoscience Applications;
2. Nonnegative Tensor Factorization for Machine Learning;
3. Machine Learning for Analyzing Scientific Images;
4. Active Learning Applied to Fluid Flow in Nanoscale Porous Media.
Research Fellows will learn hands-on by engaging in scientific research using machine learning. Research will be performed in small collaborations, guided by mentors with scientific and computational expertise.
Students will work on high performance computing clusters, apply practical ML tools, and gain experience in communicating their work through discussions and presentations. Students will attend seminars by LANL researchers and external visitors. We aim for high-impact summer projects that will lead to peer-reviewed, co-authored publications.