Brain-like neural networks study space-time distortions at breakneck speed

Researchers have used brain-like “neural networks” to analyze key distortions in space-time 10 million times faster than conventional methods can do so.

The original article can be found here: http://www.foxnews.com/tech/2017/08/30/brain-like-neural-networks-study-space-time-distortions-at-breakneck-speed.html

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IBM cracks open a new era of computing with brain-like chip: 4096 cores, 1 million neurons, 5.4 billion transistors

IBM's TrueNorth chip, and a few friends, in an SMP setup
Scientists at IBM Research have created by far the most advanced neuromorphic (brain-like) computer chip to date. The chip, called TrueNorth, consists of 1 million programmable neurons 256 million programmable synapses spread out across 4096 individual neurosynaptic cores. Built on Samsung’s 28nm process and with a monstrous transistor count of 5.4 billion, this is one of the largest and most advanced computer chips ever made. Perhaps most importantly, though, TrueNorth is incredibly efficient: The chip consumes just 72 milliwatts at max load, which equates to around 400 billion synaptic operations per second per watt — or about 176,000 times more efficient than a modern CPU running the same workload, or 769 times more efficient than other state-of-the-art neuromorphic approaches. Yes, IBM is now a big step closer to building a brain on a chip.

The original article can be found here: http://www.extremetech.com/extreme/187612-ibm-cracks-open-a-new-era-of-computing-with-brain-like-chip-4096-cores-1-million-neurons-5-4-billion-transistors

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