This ‘brain-inspired’ supercomputer will explore deep learning for the U.S. nuclear program

Based on IBM’s TrueNorth chip, it will have the equivalent of 16 million neurons and 4 billion synapses but consume energy like a tablet PC Dharmendra Modha, IBM Fellow and chief scientist for brain-inspired computing with the IBM Neurosynaptic System. Credit: Hita Bambhania-Modh IDG News Service Mar 29, 2016 4:24 PM A new low-power, “brain-inspired” supercomputing platform based on IBM chip technology will soon start exploring deep learning for the U.S. nuclear program. Lawrence Livermore National Laboratory announced on Tuesday that it has purchased the platform, based on the TrueNorth neurosynaptic chip IBM introduced in 2014. It will use the technology to evaluate machine-learning and deep-learning applications for the National Nuclear Security Administration. The computer will process data with the equivalent of 16 million neurons and 4 billion synapses and consume…


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