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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...
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.
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...
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...
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...
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...
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...
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...
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.
Lawrence Livermore scientists link up with Global Women in Data Science conference
March 14, 2018 -
LLNL's High Performance Computing Innovation Center hosted a regional event on March 5 tied in with Stanford University’s annual Women in Data Science (WiDS) conference. Nearly 70 attendees, mostly women Livermore and Sandia national laboratory employees, heard featured talks by female LLNL scientists on machine learning and data analytics, and viewed a live broadcast of the daylong world...
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...