Nanowire Synapses 30,000x Faster Than Nature's - IEEE Spectrum
Por um escritor misterioso
Descrição
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.
CMOS-Compatible Protonic Programmable Resistor Based on Phosphosilicate Glass Electrolyte for Analog Deep Learning
Tópico da ciência [Arquivo] - Pagina 4 - Fórum do Portugal-Tech
Tópico da ciência [Arquivo] - Pagina 4 - Fórum do Portugal-Tech
Memristor‐Based Analog Computation and Neural Network Classification with a Dot Product Engine
컴퓨터 vs 책: 11월 2022
IBM Debuts Brain-Inspired Chip For Speedy, Efficient AI - IEEE Spectrum
Tópico da ciência [Arquivo] - Pagina 4 - Fórum do Portugal-Tech
Articles about Big Data - 10
CMOS-Compatible Protonic Programmable Resistor Based on Phosphosilicate Glass Electrolyte for Analog Deep Learning
Reconfigurable AI Device Shows Brainlike Promise - IEEE Spectrum
The future of ferroelectric field-effect transistor technology
PDF) Facile fabrication of complex networks of memristive devices
IBM Debuts Brain-Inspired Chip For Speedy, Efficient AI - IEEE Spectrum
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