Machine learning – a branch of artificial intelligence – is a powerful scientific tool that can reveal profound insights hiding in ever-expanding datasets. This presentation will demonstrate how researchers are using machine learning to spur discovery and innovation in a diversity of fields, from energy and the environment to biology, astronomy, and beyond.
* Ben Brown, Staff Scientist, Environmental Genomics & Systems Biology Division
* Kristin Persson, Director, Molecular Foundry; Director, Materials Project
* James Sethian, Professor of Mathematics, University of California, Berkeley; Director, Center for Advanced Mathematics for Energy Research Applications, Berkeley Lab
* Anna Spurlock, Research Scientist, Energy Analysis and Environmental Impacts Division
* Haruko Wainwright, Staff Scientist, Environmental Resilience Program, Earth and Environmental Sciences Area
* Kathy Yelick, Senior Advisor on Computing, Computing Sciences Area