Data Science in the News

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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...

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...

Hyperion Research announces new winners of HPC Innovation Excellence Awards

June 18, 2019 - 
Hyperion Research  announced the 14th round of recipients of the HPC Innovation Excellence Award at the ISC19 supercomputer industry conference in Frankfurt, Germany. Led by Brian Spears, an LLNL team used the Trinity supercomputer to seek out successful modes of laser-driven fusion implosions by building an enormous database for supervised training of a machine learned surrogate...

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...

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...

CASC research showcased at major data science venues

March 20, 2019 - 
Researchers from LLNL’s Center for Applied Scientific Computing (CASC) are among the Lab’s employees making waves in the data science community, with many prominent accolades, publications, and acceptances in 2018. Data science encompasses some of the hottest technology topics—machine learning (ML), “big data” analysis, artificial intelligence, computer vision, and more—and the Center’s...

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...

Going deep: Lab employees get an introduction to world of machine learning, neural networks

Feb. 1, 2019 - 
Deep learning is one of the most popular and widely used machine learning methods due to its success with autonomous vehicles, speech recognition and image classification, to name a few emergent technologies. But what exactly is deep learning, and how can it best be applied to Lab projects? LLNL employees discovered the answers during a recent "Deep Learning 101" course, which introduced the...

Dispatches from the fall hackathon

Dec. 18, 2018 - 
This recap of LLNL's seasonal hackathon was provided by the web team that manages several LLNL websites. Mike Goldman, director of the Data Science Institute (DSI), stopped by the team's table during the hackathon to discuss the Open Data Initiative. Read more at LLNL Computing.

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...

Machine learning points toward new laser target designs

Oct. 8, 2018 - 
When the Trinity supercomputer at Los Alamos National Laboratory was first coming online, calls went out for research projects that would test—and potentially break—the new system. LLNL researchers answered the call, and their work with Trinity and machine learning could disrupt 40 years of assumptions about inertial confinement fusion (ICF). The project essentially turned Trinity—then a 8.1...

LLNL explores machine learning to prevent defects in metal 3D-printed parts in real time

Sept. 13, 2018 - 
LLNL researchers have developed machine learning algorithms capable of processing the data obtained during metal 3D printing in real time and detecting within milliseconds whether a 3D part will be of satisfactory quality. Read more at LLNL News.

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...

New Data Science Institute supports explosive growth of data science

March 8, 2018 - 
The Data Science Institute (DSI) is a new multidisciplinary entity supporting growth in this field both across Lawrence Livermore National Laboratory (LLNL) programs and among the external data science community. The DSI is designed to facilitate mission-driven data science through a cohesive vision, increased collaboration, and targeted outreach and recruiting. The DSI is led by Michael...