Sandia Labs News Releases

Tag Archives: machine learning

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 […]

Diagnosing supercomputer problems

Sandia, Boston University win award for using machine learning to detect issues 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 supercomputers. The research, which is in the early […]

Sandia to evaluate if computational neuroscientists are on track

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 a green apple is still […]