Think Fast – Is Neuromorphic Computing Set to Leap Forward?

Steadily advancing neuromorphic computing technology has created high expectations for this fundamentally different approach to computing. Its strengths – like the human brain it attempts to mimic – are pattern recognition (space and time) and inference reasoning. Advocates say it will also be possible to compute at much lower power than current paradigms. At ISC this year Karlheinz Meier, a physicist-turned-neuromorphic computing pioneer and a leader of the European Human Brain Project (HBP), gave an overview that served as both an update and primer. Moving to neuromorphic computing architectures, he believes, will make emulating brain function not only more effective and efficient, but also eventually accelerate computational learning and processing significantly beyond the speed of biological systems opening up new applications. Sometimes it’s best to start with the conclusions: Meier…


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