Data Science in the News

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‘Yes, you can’: UC Merced students learning, growing at Livermore Lab

Feb. 26, 2020 - 
Just 90 miles UC Merced lies one of the epicenters of the future of technology, innovation and national security. The university and lab have teamed up to lay the groundwork for a direct pipeline between the two, opening a door to research collaborations as well as job and internship opportunities for students and alumni. Read more at UC Merced.

Machine learning accelerates high-performance materials development

Feb. 13, 2020 - 
Lawrence Livermore National Laboratory (LLNL) and its partners rely on timely development and deployment of diverse materials to support a variety of national security missions. However, materials development and deployment can take many years from initial discovery of a new material to deployment at scale. Now, an interdisciplinary team of LLNL researchers from the Physical and Life Sciences...

Big data illuminates the physical sciences

Nov. 6, 2019 - 
Livermore teams are applying innovative data analysis and interpretation techniques to advance fundamental science research. This article describes projects in astrophysics and materials science. Read more at Science & Technology Review.

Lab leads effort to model proteins tied to cancer

Oct. 31, 2019 - 
Computational scientists, biophysicists and statisticians from LLNL and Los Alamos National Laboratory(LANL) are leading a massive multi-institutional collaboration that has developed a machine learning-based simulation for next-generation supercomputers capable of modeling protein interactions and mutations that play a role in many forms of cancer. Read more at LLNL News.

LLNL team achieves largest graph analytics to date

Oct. 28, 2019 - 
Besides broad usage in the tech industry, graph analytics also have national security applications, where algorithms dig through massive datasets to find anomalies or patterns of nefarious activity. It’s in that vein that an LLNL team of computer scientists and applied mathematicians, including Roger Pearce, Geoffrey Sanders, postdoc Benjamin Priest and visiting scholar Trevor Steil, searched...

Successful simulation and visualization coupling proves the power of Sierra

Oct. 22, 2019 - 
As the first National Nuclear Security Administration (NNSA) production supercomputer backed by GPU- (graphics processing unit) accelerated architecture, Sierra’s acquisition required a fundamental shift in how scientists at Lawrence Livermore National Laboratory (LLNL) program their codes to take advantage of the GPUs. The majority of Sierra’s computational power—95 percent of its 125...

FedTech helps accelerate technology transfer

Oct. 4, 2019 - 
LLNL computer scientists with promising technologies have taken part in a national organization’s commercialization program that pairs researchers with entrepreneurs. One of the researchers, Timo Bremer (who also sits on the DSI Council), worked for 12 weeks with teams of entrepreneurs, comprised of former CEO’s, executives, graduates and students with master’s degrees in business and others...

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.

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...

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.

Researchers explore machine learning to automate sorting of microcapsules in real-time

April 16, 2019 - 
Micro-Encapsulated CO2 Sorbents (MECS) — tiny, reusable capsules full of a sodium carbonate solution that can absorb carbon dioxide from the air — are a promising technology for capturing carbon from the atmosphere. To create the caviar-like objects, scientists run three fluids through a series of microfluidic components to create drops that turn into capsules when exposed to ultraviolet...

Multi-institutional meeting centers on making the 'impossible' possible in cancer research

March 22, 2019 - 
Computer scientists, biomedical engineers, cancer biologists and bioinformaticians from eight Department of Energy national laboratories, health-related government agencies and universities converged at LLNL March 6-7 to discuss ongoing efforts to advance cancer research through computation, identify existing challenges and brainstorm future multidisciplinary projects. Read more at LLNL News...

Making connections, career development highlight Women in Data Science regional event

March 11, 2019 - 
For the second straight year, the HPC Innovation Center at LLNL played host to a Women in Data Science WiDS) regional event on March 4, drawing in dozens of attendees from LLNL, local universities and other Bay Area national laboratories. Livermore was one of more than 150 regional events held at sites across the globe in conjunction with the Global WiDS conference at Stanford University. Rea...

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.

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...

DOE machines dominate record-breaking SC18

Nov. 20, 2018 - 
They say everything’s bigger in Texas, and the 30th anniversary of the annual International Conference of High Performance Computing, Networking, Storage and Analysis (SC18), held Nov. 11-16 in Dallas, did not disappoint. The conference, which broke records for attendees and exhibitors, saw LLNL once again make its presence felt on the world’s biggest HPC stage. For the first time in five...

New computing cluster coming to Livermore

Nov. 8, 2018 - 
LLNL, in partnership with Penguin Computing, AMD and Mellanox Technologies, will accept delivery of Corona, a new unclassified high-performance computing (HPC) cluster that will provide unique capabilities for Lab researchers and industry partners to explore data science, machine learning and big data analytics. Read more at LLNL News.

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...