2nd Annual Deep Learning for Science School
Berkeley Lab, Berkeley, Calif., July 20 - 24, 2020
Hosted by Computing Sciences at Berkeley Lab, the Deep Learning for Science (DL4Sci) school brings together researchers and engineers for lectures and tutorials on state-of-the-art deep learning methods and best practices for running deep learning on high performance computing systems.
Data Sciences Seminars
NERSC's Data Analytics Services group hosts weekly seminars addressing data science topics including machine learning techniques, such as deep learning, and other AI and data intensive science topics. In-person attendance is limited to those with Berkeley Lab site access, but remote participation is encouraged and welcomed. Learn more.
Monterey Data Conference
Monterey, Calif., Aug. 5 - 8, 2019
The Computing Sciences Area at Berkeley Lab and the Association for High Speed Computing hosted the inaugural of this annual, invitation-only meeting. This year's discussions centered on deep learning. Learn more.
Deep Learning for Science School
Berkeley Lab, Berkeley, Calif., July 15 - 19, 2019
Hosted by Computing Sciences at Berkeley Lab, this school brought together researchers and engineers for lectures and tutorials on state-of-the-art deep learning methods and best practices for running deep learning on high performance computing systems. Video recordings of the sessions and presentations are available.
Big Data Summit 2019: AI and HPC Convergence for Science
Berkeley Lab, Berkeley Calif., July 9, 2019
The event featured results from advanced data analytics and machine learning projects on the NERSC Cori system. And ongoing projects being led by NERSC, Intel, Cray, and five Intel® Parallel Computing Centers were featured in the talks. Presentations are available for download.
Workshop on Advanced Computing for Connected & Automated Vehicles
Berkeley Lab, May 7, 2019
At this one-day summit, a variety of automotive, semiconductor, and artificial intelligence experts from industry, academia, and the national laboratories explored advanced microelectronics and computing approaches to help meet future energy, cost, and computational requirements for connected and automated vehicles (CAVs). The event was co-hosted with Sandia National Laboratories. An agenda is available online.
Energy Probe Workshop
Berkeley Lab, May 13, 2019
Berkeley Lab's Energy Technologies Area and Computing Sciences Area hosted this workshop to bring together researchers from throughout the Berkeley ecosystem with common interests in transportation, infrastructure, the grid, artificial intelligence, and materials science. More than 75 attendees, including select representatives from industry, UC Berkeley, lab leadership, all divisions of ETA, Computing Sciences, and Earth and Environmental Sciences, participated in collaborative discussions on cybersecurity threat detection; intelligence opportunities in prediction, artificial intelligence in materials discovery; and integrated modeling of transportations, buildings and the grid.
Workshop on the Future of Machine Learning and Data Analytics Across the Department of Energy
Berkeley Laboratory, April 2-3, 2019
This invitation-only event brought together early and mid-career applied mathematicians to explore current and future challenges in machine learning and data analytics. Sponsored by the white paper that lays out a vision for the next 10-20 years for the labs. An agenda and keynote speakers' slides can be found on the workshop's website.
Deep Learning at Scale Tutorial, SC18
Dallas, Texas, November 11-16, 2018
NERSC staff delivered a full-day tutorial on Deep Learning at Scale covering a working knowledge of deep learning on HPC class systems including core concepts, scientific applications and techniques for scaling. Attendees were provided NERSC training accounts and example Jupyter notebook-based exercises as well as datasets for hands-on experimentation with ML concepts such as training, inference and scaling of deep neural network machine learning models. An agenda is available on the SC18 website.
NERSC Data Day 2018
Berkeley Lab, September 6-7, 2018
Data Day, now in its third year, is a data-centric event that brings together researchers who use, or are interested in using, NERSC systems for data-intensive research. The event features the latest data-focused tools for scientific computing, training sessions on machine learning, Python and more, along with presentations from scientists already using data tools and services in their work plus a hack-a-thon and tutorials.
Machine Learning for Science Workshop
Berkeley Lab, September 4-6, 2018
The inaugural workshop on machine learning for science at Berkeley Lab, ML4Sci, was held jointly with the annual NERSC Data Day and featured scientific machine learning applications at the lab in high energy physics, nuclear physics, cosmology, chemistry, biosciences, materials engineering, climate and high performance computing. There were overviews of ML methodology and technology and hands-on training for deploying ML applications on NERSC platforms. A full agenda and slides are available on the 2018 ML4Sci workshop website.
Big Data Summit
Berkeley Laboratory, July 18, 2018
The Big Data Summit 2018 featured results from advanced data analytics and management projects on the NERSC Cori system. The summit featured talks about ongoing projects being led by NERSC, Intel, Cray, and five Intel Parallel Computing Centers (represented by Oxford University, University of Liverpool, University of California Berkeley, University of California Davis, and New York University). Recordings of the presentations are available on the summit's web page.
Conference on Neural Information Processing Systems (NIPS)
Long Beach, Calif., December 4-9, 2017
Berkeley Lab’s growing involvement in deep learning research and development resulted in staff members presenting papers and posters for the first time at the 2017 Conference on Neural Information Processing Systems (NIPS). NIPS is a machine learning and computational neuroscience conference that includes invited talks, demonstrations and oral and poster presentations of refereed papers. Read More.