neuroscience

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New brain-inspired cybersecurity system detects ‘bad apples’ 100 times faster

March 21, 2017 • ALBUQUERQUE, N.M. — Cybersecurity is critical — for national security, corporations and private individuals. Sophisticated cybersecurity systems excel at finding “bad apples” in computer networks, but they lack the computing power to identify the threats directly. Instead, they look for general indicators of an attack; call them “apples.” Or the...
Roger Suppona, John Naegle, and David Follett hold Neuromorphic Cyber Microscope.

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
Sandia's MICrONS team examines a sample test object for IARPA's Machine Intelligence from Cortical Networks (MICrONS) project