US government to put IBM’s brain-inspired supercomputer to the test

The US government’s Lawrence Livermore National Laboratory (LLNL) has enlisted IBM’s brain-inspired, 16-chip supercomputer system, with plans on testing just how well deep machine learning can help with the nation’s security. The supercomputer system, which is scalable as needed, uses 16 of IBM’s TrueNorth chips. They each can process sensory data in parallel, mimicking how a brain works (also know as neuromorphic computing), all the while using less power than has traditionally been demanded by machine learning systems. Each postage stamp-sized chip is home to one million neurons, 256 million synapses and 4,096 parallel cores, and only requires 70 milliwatts of power running in real time (about what your iPad draws, if you’re curious). “Like the human brain, neurosynaptic systems require significantly less electrical power and volume,” IBM explained. Oh,…


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