Berkeley Lab Computing Sciences Associate Lab Director Kathy Yelick gave an invited talk on machine learning for science during the 2019 Monterey Data Conference. |
This annual, invitation-only meeting was launched this year to give researchers from DOE national laboratories, facilities, universities, and industry the opportunity to share and showcase the latest advances and challenges in scientific data analysis and computing.
The theme for this year’s event was Deep Learning for Science. The program featured talks from
leading scientists from across the country who showed the impact of
deep learning on a broad set of applications, including precision
agriculture, personalized cancer treatment, materials by design,
detecting extreme climate events, controlling fusion reactors, managing
networks, and tracking particles in advanced physics experiments. The
examples went beyond data analysis problems into design and control of
experiments and the derivation and refinement of physical models from
data, showing how the scientific process and our understanding are being
impacted by these methods. Panel discussions from industry and the DOE
Labs explored some of the hardware, software, and methods challenges.
About NERSC and Berkeley Lab
The National Energy Research Scientific Computing Center (NERSC) is a
U.S. Department of Energy Office of Science User Facility that serves as
the primary high-performance computing center for scientific research
sponsored by the Office of Science. Located at Lawrence Berkeley
National Laboratory, the NERSC Center serves more than 7,000 scientists
at national laboratories and universities researching a wide range of
problems in combustion, climate modeling, fusion energy, materials
science, physics, chemistry, computational biology, and other
disciplines.
Berkeley Lab is a DOE
national laboratory located in Berkeley, California. It conducts
unclassified scientific research and is managed by the University of
California for the U.S. DOE Office of Science. »
Learn more about computing sciences at Berkeley Lab.
Source: HPCwire