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IBM Advances Neuromorphic Computing for Deep Learning
September 29, 2016
Deep learning efforts today are run on standard computer hardware using convolutional neural networks. Indeed the approach has proven powerful by pioneers such as Google and Microsoft. In contrast neuromorphic computing, whose spiking neuron architecture more closely mimics human brain function, has generated less enthusiasm in the deep learning community. Read more…
Nanotech Grand Challenge & Federal Vision for Future Computing
August 8, 2016
What will computing look like in the post Moore’s Law era? There’s no shortage of ideas. A new federal white paper – A Federal Vision for Future Computing: A Nanotechnology-Inspired Grand Challenge – tackles the ‘what’s next’ question and spells out seven specific research and development priorities and identifies the federal entities responsible. Read more…
Brainy IBM Chip Packs One Million Neuron Punch
August 7, 2014
IBM researchers have developed a super-efficient chip inspired by the functioning of the human brain. Named TrueNorth, the chip features 5.4 billion transistors Read more…
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