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Collaboration drives data science workshop
Sept. 12, 2019 -
Lawrence Livermore National Laboratory’s (LLNL’s) Data Science Institute (DSI) hosted its second annual workshop on July 23–24, 2019. Co-sponsored by the University of California (UC) system, the event drew more than 200 participants to Garré Winery in Livermore. A common theme ran throughout both days: Collaboration is always welcome.
Indeed, feedback from last year’s workshop inspired a...
LLNL presentation at KDD Conference women’s luncheon (VIDEO)
Aug. 15, 2019 -
The DSI co-sponsored the women's lunch at the 2019 Conference on Knowledge Discovery and Data Mining. Alyson Fox and Amanda Minnich discussed LLNL's diversity and inclusion efforts. Watch on LLNL's YouTube channel.
Livermore Lab Foundation awards scholarship to Cal State East Bay computer science student
Aug. 2, 2019 -
Alan Noun, a computer science student at Cal State University East Bay and the recipient of the Livermore Lab Foundation's first full-year scholarship, has started a summer internship at LLNL. In partnership with Cal State University East Bay (CSUEB), the Livermore Lab Foundation (LLF) awarded Noun a one-year stipend to allow him to devote more time to academics by reducing work he needs to...
New open-air facility will be testing ground for autonomous drones, vehicles and robots
July 25, 2019 -
LLNL’s new OS-150 Robotics Laboratory is an outdoor, 8,000 square-foot enclosure that will serve as a proving ground for the autonomous drones, vehicles and robots of the future. Informally known as the "drone pen," the 50-foot-tall rectangular enclosure, located directly across from one of the Lab’s main engineering buildings, is allowing operators to pilot their drones safely and...
LLNL Center for Applied Scientific Computing: accelerating scientific discovery (VIDEO)
July 12, 2019 -
The Center for Applied Scientific Computing (CASC) serves as LLNL’s window to the broader computer science, computational physics, applied mathematics, and data science research communities. Major thrust areas in CASC research include: (1) Increasing simulation fidelity by integrating multi-physics and multi-scale models, increasing resolution through advanced numerical methods and more...
Small brain-on-a-chip promises big payoffs
July 10, 2019 -
Livermore’s brain-on-a-chip may offer a faster, less expensive, and more effective way to evaluate the organ’s response to human-made and natural threats. The device is the newest embodiment of an integrated system designed to accurately evaluate the effects of potentially harmful chemicals, viruses, and drugs on humans without relying on animal or human test subjects. Computational models...
Protecting image classification in artificial intelligence
July 8, 2019 -
To address vulnerability concerns in image classification, a new subfield of machine learning has emerged called adversarial machine learning, which focuses on the security of machine learning algorithms. Thomas Hogan, a doctoral student of mathematics at UC Davis, spent his summer investigating this new area of research during the National Science Foundation’s Mathematical Sciences Graduate...
Two-week workshop lets UC Merced students step into shoes of Lab computer scientists
June 12, 2019 -
From May 20-31, 21 undergraduate and graduate students, many of them first-generation college students, interned at the Lab. While they were on site, the students, along with their Lab mentors, were tasked with using machine learning and other computational methods to tackle real-world problems in computational immunology. Read more at LLNL News.
NFL comes to Lab to hear latest on TBI research
June 5, 2019 -
Officials from the National Football League visited LLNL to hear how the Department of Energy’s national laboratories are using high-performance computing and artificial intelligence to advance scientific understanding of traumatic brain injury (TBI). Read more at LLNL News.
How machine learning could change science
April 29, 2019 -
Artificial intelligence tools are revolutionizing scientific research and changing the needs of high-performance computing. LLNL has been exploiting the relationship between simulation and experiments to build predictive codes using machine learning and data analytics techniques. Read more at Data Center Dynamics.
Machine learning on a mission
April 11, 2019 -
Machine learning uses computers to learn from data and make predictions about the environment. As the world generates more data, interpretation becomes more difficult. A smart machine—one that adapts to new information on the fly—can speed up processing and analysis times and improve its accuracy in identification and prediction tasks. Although commercial and consumer applications of ML are...
DOE fueled AI is transforming the world as we know it (VIDEO)
April 5, 2019 -
National Labs are home to some of the most powerful supercomputers in the world. These powerful machines they have the potential to unlock artificial intelligence, providing scientists and researchers the ability to quickly analyze massive datasets for answers to the world's most complex problems. Watch on YouTube.
International collective of scientists seeks refined understanding of climate system
March 25, 2019 -
LLNL climate scientists announced the release of new data sets that will provide fresh insights into past and future climate change. Some of these data sets come from model simulations performed at LLNL, one of the more than 40 climate research centers and consortia engaged in next-generation climate change simulations. These results have been produced as part of an international effort to...
ESGF conference caps a productive year
Feb. 12, 2019 -
Members of the Earth System Grid Federation (ESGF) gathered in Washington, DC, on December 3–7 for the 8th annual conference. The event packed 40 presentations, several plenary sessions, a poster session, guest speakers, an awards ceremony, and an executive committee meeting into the week. The Lawrence Livermore National Laboratory (LLNL) delegation comprised 19 staff from the Computation and...
DSI seminar: data for social good (VIDEO)
Dec. 18, 2018 -
In this video from a DSI seminar, Dr. Lisa Garcia Bedolla, director of the Institute of Governmental Studies and a professor in the Graduate School of Education at the University of California, Berkeley, explores the new possibilities big data has opened up within the social sciences – with tools such as social network analyses and geospatial information systems, among others. Watch on LLNL's...
A bird's-eye view of computing performance
Dec. 7, 2018 -
LLNL’s HPC center runs 24 hours a day, 7 days a week. HPC performance data is collected from many different sources within the facility and includes metrics on network utilization, rack temperature and humidity, power consumption, application runtimes, and message routing. Such information is essential for understanding how efficiently the facility operates. The analysis tool ScrubJay—named...
DSI kicks off 'bull sessions' for data science enthusiasts
Oct. 18, 2018 -
In upholding its mission of centralizing data science activity at LLNL, the DSI launched an informal event series on July 25, 2018. The new “bull sessions” are intended to facilitate networking, brainstorming, and problem-solving among data scientists and engineers across the Lab.
Dan Faissol, a member of DSI’s Data Science Council, states, “We hope these bull sessions will also serve as a...
Data science workshop embraces multidisciplinary community
Aug. 28, 2018 -
Since launching in early 2018, Lawrence Livermore National Laboratory’s (LLNL’s) Data Science Institute (DSI) has hit the ground running with a series of seminars, collaborative sessions, reading groups and other activities for the LLNL data science community. On August 7–8, 2018, the DSI hosted its inaugural offsite workshop, which was co-sponsored by the University of California (UC).
More...
Researchers developing deep learning system to advance nuclear nonproliferation analysis
Aug. 21, 2018 -
Artificial neural networks are all around us, deeply embedded in routine functions on the internet. They help online merchants make personalized shopping recommendations, enable social media sites to recognize faces in photos and assist email programs in filtering out spam. Neural networks also have the potential to play a critical role in national security, helping nonproliferation analysts...
What is machine learning? (VIDEO)
July 5, 2018 -
Have you ever been unsure what people mean when they talk about 'machine learning'? What machines? And what are they learning? This video is for you! Watch on LLNL's YouTube channel.