September 21, 2022 – This year’s Monterey Data Conference, organized by a group of scientists from Lawrence Berkeley National Laboratory (Berkeley Lab) and hosted by the Association for High Speed Computing, brought together researchers and representatives from the Department of US Energy (DOE) national laboratories, universities and industry for a robust program designed around the theme of transforming science with artificial intelligence (AI).
Through presentations, panels and networking events, attendees emerged from the three-day event with new inspiration, new connections, and a new understanding of how AI is used in a wide range of scientific areas.
“Our goal was to bring people together in the DOE lab space, including a good representation of leaders in senior positions, as well as field scientists doing practical research and a relevant contingent of industry representatives,” said Steve Farrell, a machine learning engineer in the Data and Analytics Services group at the National Energy Research Scientific Computing Center (NERSC) and principal organizer of the conference.
“It was very exciting to see colleagues in person and discuss new collaborations – the conference schedule was very intense and the corridor discussions and networking events were invaluable,” said Sudip Dosanjh, Director of the NERSC Division. “Data and artificial intelligence are very important topics for DOE labs and this conference brought together scientists, computer scientists and computer companies to discuss how to address new scientific challenges.”
After a two-year pandemic hiatus, the invitation-only event hosted around 100 attendees at a venue overlooking Monterey Bay, California. The program included invited lectures and panel discussions on scalable and productive computer systems for AI; interpretable, robust and science-informed artificial intelligence methods; new scientific applications of artificial intelligence; AI for self-driving scientific facilities; data management for scientific AI; and computer science and AI under extreme conditions.
“The sessions were really good. I was so impressed with the quality of all the speakers in all the panels, “Farrell said.” We’ve had a lot of people talking about pretty advanced cutting-edge problems in AI applications and methods. “
Climate science applications for AI, using AI for HPC simulation workloads, and a panel on diversity, equity and inclusion were all presented on the first day of the event. The keynote speaker at the conference, Pamela Isom, DOE Director of the Artificial Intelligence and Technology Office (AITO), spoke about the need for governance in AI.
During the conference, speakers and topics represented a wide range of artificial intelligence applications, from space exploration to autonomous driving technology to food systems management. Benchmarking in AI was also a popular topic, and one that Farrell particularly appreciated, given his research focus. Slides from many of the conference presentations are available online and provide insight into the opportunities and challenges of adopting AI across multiple scientific disciplines.
“After having had to postpone this type of in-person event for a couple of years due to the pandemic, it was great to be able to connect with others and have the opportunity to meet everyone, hear more about their work and form partnerships. “Farrell said.” The plan is to make this an annual event.
NERSC is a user structure of the DOE Office of Science.
Information on NERSC and Berkeley Lab
The National Energy Research Scientific Computing Center (NERSC) is a user facility of the US Department of Energy’s Office of Science that serves as the premier high-performance computing center for scientific research sponsored by the Office of Science. Located at the Lawrence Berkeley National Laboratory, the NERSC Center serves more than 7,000 scientists from 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 national DOE laboratory located in Berkeley, California. It conducts unclassified scientific research and is managed by the University of California for the United States Department of Energy. »Learn more about computer science at the Berkeley Lab.
Source: Keri Troutman, NERSC