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.
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.
The 2019 ML4Sci Workshop, now in planning, will be announced here.
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.