Data Science in the News

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Faces of STEM: Brenda Ng (VIDEO)

May 11, 2020 - 
In this video, LLNL machine learning scientist Brenda Ng explains why she loves her job in STEM, what advice she has for others, what inspired her to go into STEM, and what she does in her free time. Watch on YouTube.

The incorporation of machine learning into scientific simulations at LLNL (VIDEO)

May 5, 2020 - 
In this video from the Stanford HPC Conference, Katie Lewis presents "The Incorporation of Machine Learning into Scientific Simulations at Lawrence Livermore National Laboratory." Read more and watch the video at insideHPC.

New partnership results in increased access to compelling 'real world data'

April 21, 2020 - 
Through a new partnership between the UC San Diego Library, Halıcıoğlu Data Science Institute (HDSI), and LLNL's Data Science Institute, UCSD library patrons can now access and analyze two new “real world” data sets from LLNL. The Open Data Initiative collection shares some of LLNL’s challenging and unique data sets, which range in complexity from large-scale, domain-specific simulated data...

Using data to build a secure future (PODCAST)

April 21, 2020 - 
On the Hidden in Plain Sight podcast, LLNL director Bill Goldstein explains how the Lab crunches data to shape the future. Listen at Mission.org.

Lab promotes diversity, tech at Women in Data Science regional event

April 3, 2020 - 
For the third consecutive year, Lawrence Livermore National Laboratory (LLNL) hosted a Women in Data Science (WiDS) regional event on March 2. Held at the HPC Innovation Center, the event drew dozens of attendees from LLNL, Sandia National Laboratories, local universities, and Bay Area commercial companies. Livermore was one of over 200 regional events in 60 countries coordinated with the...

Local Women in Data Science conference showcases Lab research

April 3, 2020 - 
For the third consecutive year, LLNL hosted a Women in Data Science (WiDS) regional event on March 2. The event drew dozens of attendees from LLNL, Sandia National Laboratories, local universities, and Bay Area commercial companies. Livermore was one of over 200 regional events in 60 countries coordinated with the main WiDS conference at Stanford University. According to the WiDS website...

‘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.

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.

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...

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...

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.

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.

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...

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...

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 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...

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.