The Second Coming of Neuromorphic Computing

February 9, 2016 Nicole Hemsoth Just a few years ago, the promise of ultra-low power, high performance computing was tied to the rather futuristic-sounding vision of a “brain chip” or neuromorphic processor, which could mimic the brain’s structure and processing ability in silicon—quickly learning and chewing on data as fast as it could be generated. In that short amount of time, broader attention has shifted to other devices and software frameworks for achieving the same end. From custom ASICs designed to train and execute neural networks, to reprogrammable hardware with a low-power hook, like FPGAs, to ARM, GPUs, and other non-standard CPU cores, the range of neuromorphic approaches are less likely to garner press, even though the work that is happening in this area is legitimate, fascinating, and directly in…


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