Sandia Labs News Releases

Tag Archives: machine learning

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

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 materials like sheet metal for […]

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

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 is shown in SNAP (Spectral […]

High-speed alloy creation might revolutionize hydrogen’s future

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 easier to create hydrogen infrastructure […]

Sandia uncovers hidden factors that affect solar farms during severe weather

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. Hurricanes, blizzards, hailstorms and wildfires […]

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

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 “melts” and methane gas is […]

Advanced materials in a snap

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 machine learning, designing materials for […]

Material found in house paint may spur technology revolution

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 from the University of Michigan, […]

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

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 plasma that releases energy as […]

‘Magical’ mathematics unlocks engineering honor for Sandia scientist

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 to the National Academy of […]

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

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 of computing, called neuromorphic, based […]

Finding COVID-19 needles in a coronavirus haystack

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 data mining, machine-learning algorithms and […]

AI center to combine hardware, software for practical gains

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 eventual applications ranging from autonomous […]

Sandia spiking tool improves artificially intelligent devices

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 the amount of circuitry needed […]

Three Sandia Labs researchers earn national honors in leadership and technology

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 black scientists and engineers and […]

Using biomimicry to detect outbreaks faster

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 to disease outbreaks by mimicking […]