machine learning

21 Results

Swifter simulations for modern science. All of it

August 28, 2024 • A good machine-learning algorithm is a powerful research accelerator. Pair it with a computer simulation and it can propel scientists to faster insights about the effects of drugs on cells or the potential of rocket engines to send humankind to Mars and beyond.

Categories: Computing

Topics: computer modeling and simulation, Laboratory Directed Research and Development, machine learning, materials science

Sandia researchers capture six R&D 100 Awards

October 30, 2023 • ALBUQUERQUE, N.M. — Sandia National Laboratories researchers took home six R&D 100 Awards, one joint award with Los Alamos National Laboratory and one special award for 2023 in the annual international technical competition that includes researchers from universities, corporations and government labs. “These achievements further Sandia’s mission and demonstrate the...

Categories: Awards, Science / Technology / Engineering

Topics: density functional theory, machine learning, metalens, metasurface

Increasing national security with satellites that team together

September 14, 2023 • ALBUQUERQUE, N.M. — Imagine a satellite observing ships on the ocean. As it takes pictures of each ship, an algorithm decides what kind of vessel it is. But one sneaky sailor paints a pattern on the deck that confuses the satellite, so it can’t decide what it’s looking at. How...

Categories: Science / Technology / Engineering, Space / Astronomy

Topics: autonomy, edge computing, machine learning, satellites

Hackers could try to take over a military aircraft; can a cyber shuffle stop them?

February 27, 2023 • ALBUQUERQUE, N.M. — A cybersecurity technique that shuffles network addresses like a blackjack dealer shuffles playing cards could effectively befuddle hackers gambling for control of a military jet, commercial airliner or spacecraft, according to new research. However, th…

Categories: Cybersecurity

Topics: computing, Laboratory Directed Research and Development, LDRD, machine learning, military aircraft

A man poses in front of a whiteboard filled with sketches and notes

Algorithm could shorten quality testing, research in many industries by months

February 15, 2022 • ALBUQUERQUE, N.M. — A machine-learning algorithm developed at Sandia National Laboratories could provide auto manufacturing, aerospace and other industries a faster and more cost-efficient way to test bulk materials. The technique was published recently in the scientific journal Materials Science and Engineering: A. Production stoppages are costly. So, manufacturers screen...

Categories: Computing, Science / Technology / Engineering

Topics: machine learning, materials testing, microstructure, technology transfer

David Montes de Oca Zapiain and Hojun Lim

Powerful Sandia machine-learning model shows diamond melting at high pressure

January 26, 2022 • ALBUQUERQUE, N.M. — A Sandia National Laboratories supercomputer simulation model called SNAP that rapidly predicts the behavior of billions of interacting atoms has captured the melting of diamond when compressed by extreme pressures and temperatures. At several million atmospheres, the rigid carbon lattice of the hardest known substance on Earth...

Categories: Materials Science, Military / Defense, Physics, Science / Technology / Engineering, Space / Astronomy

Topics: carbon, diamond, exoplanets, Gordon Bell, machine learning, quantum mechanical, supercomputer simulationst

High-speed alloy creation might revolutionize hydrogen’s future

September 20, 2021 • LIVERMORE, Calif. — A Sandia National Laboratories team of materials scientists and computer scientists, with some international collaborators, have spent more than a year creating 12 new alloys — and modeling hundreds more — that demonstrate how machine learning can help accelerate the future of hydrogen energy by making it...

Categories: Computing, Materials Science, Renewable energy

Topics: fuel cell, hydrogen, machine learning, Sandia, Sandia National Laboratories

Sandia uncovers hidden factors that affect solar farms during severe weather

August 31, 2021 • ALBUQUERQUE, N.M. — Sandia National Laboratories researchers combined large sets of real-world solar data and advanced machine learning to study the impacts of severe weather on U.S. solar farms, and sort out what factors affect energy generation. Their results were published earlier this month in the scientific journal Applied Energy....

Categories: Climate Change, Computing, Renewable energy

Topics: climate change, hurricanes, machine learning, severe weather, snowstorms, solar energy, solar farms, solar panels

Finding fire and ice: Modeling the probability of methane hydrate deposits on the seafloor

March 17, 2021 • RALEIGH, N.C. — Methane hydrate, an ice-like material made of compressed natural gas, burns when lit and can be found in some regions of the seafloor and in Arctic permafrost. Thought to be the world’s largest source of natural gas, methane hydrate is a potential fuel source, and if it...

Categories: Climate Change, Energy / Environment / Water

Topics: climate change, computer modeling and simulation, energy exploration, geoscience modeling, machine learning, methane, methane hydrate, naval research laboratory, uncertainty quantification

Sandia National Laboratories researchers used advanced computer models to predict the likelihood of finding methane hydrate, an ice-like material made of compressed natural gas that burns when lit.

Advanced materials in a snap

January 5, 2021 • ALBUQUERQUE, N.M. — If everything moved 40,000 times faster, you could eat a fresh tomato three minutes after planting a seed. You could fly from New York to L.A. in half a second. And you’d have waited in line at airport security for that flight for 30 milliseconds. Thanks to...

Categories: Computing, Materials Science, Science / Technology / Engineering

Topics: machine learning, materials science, optics

Material found in house paint may spur technology revolution

October 14, 2020 • LIVERMORE, Calif. — The development of a new method to make non-volatile computer memory may have unlocked a problem that has been holding back machine learning and has the potential to revolutionize technologies like voice recognition, image processing and autonomous driving. A team from Sandia National Laboratories, working with collaborators...

Categories: Computing, Materials Science

Topics: Advanced Scientific Computing Research branch, alec talin, computing, machine learning, oxygen vacancies, processors

Machine-learning technique from Sandia Labs could improve fusion energy outputs

October 12, 2020 • ALBUQUERQUE, N.M. — Machine-learning techniques, best known for teaching self-driving cars to stop at red lights, may soon help researchers around the world improve their control over the most complicated reaction known to science: nuclear fusion. Fusion reactions are typically hydrogen atoms heated to form a gaseous cloud called a...

Categories: Climate Change, Computing, Energy / Environment / Water, Military / Defense, Physics, Science / Technology / Engineering

Topics: clean energy, fusion, fusion reactors, machine learning

‘Magical’ mathematics unlocks engineering honor for Sandia scientist

October 9, 2020 • LIVERMORE, Calif. — Tamara Kolda of Sandia National Laboratories has spent a career finding mathematical patterns in data sets ranging from mouse neurons to crime statistics, so when she talks about how ‘magical’ the results seem, even experts in other fields take notice. Kolda was one of 87 members elected...

Categories: Awards

Topics: computational mathematics, machine learning, National Academy of Engineering, Tamara Kolda, tensors

50 million artificial neurons to facilitate machine-learning research at Sandia

October 2, 2020 • ALBUQUERQUE, N.M. — Fifty million artificial neurons — a number roughly equivalent to the brain of a small mammal — were delivered from Portland, Oregon-based Intel Corp. to Sandia National Laboratories last month, said Sandia project leader Craig Vineyard. The neurons will be assembled to advance a relatively new kind...

Categories: Computing, Materials Science, Military / Defense, Physics, Science / Technology / Engineering

Topics: artificial intelligence, artificial neurons, Intel, machine learning, neuromorphic computer

Finding COVID-19 needles in a coronavirus haystack

July 14, 2020, Media Advisory • ALBUQUERQUE, N.M. — COVID-19 researchers the world over face a daunting task of sifting through tens of thousands of existing coronavirus studies, looking for commonalities or data that might help in their urgent biomedical investigations. To accelerate the filtering of relevant information, Sandia National Laboratories has assembled a combination of...

Categories: Bioscience / Medical Research, Community / Education, Computing, Coronavirus, Science / Technology / Engineering

Topics: biomedical, COVID-19, data mining, machine learning, Sandia National Laboratories

AI center to combine hardware, software for practical gains

October 31, 2019 • ALBUQUERQUE, N.M. — Sandia National Laboratories, Pacific Northwest National Laboratory in Richland, Washington, and the Georgia Institute of Technology in Atlanta are launching a research center that combines hardware design and software development to improve artificial intelligence technologies that will ultimately benefit the public. AI is an emerging field with...

Categories: Chemistry, Computing, Cybersecurity, Homeland security, Materials Science, Military / Defense, Physics, Science / Technology / Engineering, Transportation

Topics: AI, artificial intelligence, codesign, computer architecture, hardware accelerator, machine learning, sparse computations

Sandia spiking tool improves artificially intelligent devices

February 27, 2019 • ALBUQUERQUE, N.M. — Whetstone, a software tool that sharpens the output of artificial neurons, has enabled neural computer networks to process information up to a hundred times more efficiently than the current industry standard, say the Sandia National Laboratories researchers who developed it. The aptly named software, which greatly reduces...

Categories: Computing, Science / Technology / Engineering, Technology transfer / Economic Impact

Topics: artificial neurons, machine learning, neural algorithms, neuromorphic, spiking neural networks

Steve Verzi, William Severa, Brad Aimone, and Craig Vineyard hold different versions of emerging neuromorphic hardware platforms

Three Sandia Labs researchers earn national honors in leadership and technology

February 11, 2019 • ALBUQUERQUE, N.M. — Three Sandia National Laboratories researchers were honored at the BEYA (Black Engineer of the Year) STEM Global Competitiveness Conference for their leadership and technological achievements. Warren Davis, Quincy Johnson and Olivia Underwood received their awards during the conference in Washington, D.C., Feb. 7-9. The annual meeting recognizes...

Categories: Awards, Computing, Science / Technology / Engineering

Topics: BEYA, diversity, machine learning, product engineering, product realization

Using biomimicry to detect outbreaks faster

April 9, 2018 • ALBUQUERQUE, N.M. — Our immune systems are made up of billions of white blood cells searching for signs of infections and foreign invaders, ready to raise the alarm. Sandia National Laboratories computer scientists Pat Finley and Drew Levin have been working to improve the U.S. biosurveillance system that alerts authorities...

Categories: Bioscience / Medical Research, Computing

Topics: academic alliance, biomimicry, biosurveillance, CDC, Centers for Disease Control and Prevention, computer modeling and simulation, deep learning, immune system, influenza, machine learning, University of New Mexico, Zika

Pat Finley, Drew Levin, and Melanie Moses sit in an emergency room, looking at a laptop.

Diagnosing supercomputer problems

November 13, 2017 • ALBUQUERQUE, N.M. — A team of computer scientists and engineers from Sandia National Laboratories and Boston University recently received a prestigious award at the International Supercomputing conference for their paper on automatically diagnosing problems in supercompute…

Categories: Awards, Computing

Topics: Advanced Scientific Computing, diagnosing problems, machine learning, supercomputer, supercomputers, supercomputing

Vitus Leung between two stacks of supercomputers.

Sandia to evaluate if computational neuroscientists are on track

November 2, 2016 • ALBUQUERQUE, N.M. – Advanced computers may have beaten experts in chess and Go, but humans still excel at “one of these things is not like the others.” Even toddlers excel at generalization, extrapolation and pattern recognition. But a computer algorithm trained only on pictures of red apples can’t recognize that...

Categories: Biology, Computing

Topics: artificial intelligence, IARPA, image processing, machine learning, neural computing, neuroscience, pattern recognition