Nanowire Synapses 30,000x Faster Than Nature's - IEEE Spectrum

AI systems are increasingly limited by the hardware that implements them. Now comes a superconducting photonic circuit that mimics the links between brain cells, burning 0.3 percent of the energy of its human counterparts while operating some 30,000 times faster.

Physical instantaneous computation - a strange idea - Engineering - HTM Forum

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PDF) Facile fabrication of complex networks of memristive devices

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Novel Weight Update Scheme for Hardware Neural Network based on Synaptic Devices Having Abrupt LTP or LTD Characteristics

컴퓨터 vs 책: 11월 2022

擁有LinkedIn 檔案的Subhash KM：Nanowire Synapses 30,000x Faster Than Nature's

CMOS-Compatible Protonic Programmable Resistor Based on Phosphosilicate Glass Electrolyte for Analog Deep Learning

CMOS-Compatible Protonic Programmable Resistor Based on Phosphosilicate Glass Electrolyte for Analog Deep Learning

Neuromorphic Chips Are Destined for Deep Learning—or Obscurity - IEEE Spectrum

Novel Weight Update Scheme for Hardware Neural Network based on Synaptic Devices Having Abrupt LTP or LTD Characteristics

CMOS-Compatible Protonic Programmable Resistor Based on Phosphosilicate Glass Electrolyte for Analog Deep Learning

Boosting your brain's bandwidth - Mindbullets by Futureworld

Neuromorphic Chips Are Destined for Deep Learning—or Obscurity - IEEE Spectrum

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