A Power Efficient Artificial Neuron Using Superconducting Nanowires

29 Jun 2019Emily ToomeyKen SegallKarl K. Berggren

With the rising societal demand for more information-processing capacity with lower power consumption, alternative architectures inspired by the parallelism and robustness of the human brain have recently emerged as possible solutions. In particular, spiking neural networks (SNNs) offer a bio-realistic approach, relying on pulses analogous to action potentials as units of information... (read more)

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