Researchers at the National Institute of Standards and Technology (NIST) have built a superconducting switch that “learns” like a biological system and could connect processors and store memories in future computers operating like the human brain. Above – Illustrations showing the basic operation of NIST’s artificial synapse, which could connect processors and store memories in …
Nature Materials – SiGe epitaxial memory for neuromorphic computing with reproducible high performance based on engineered dislocations Although several types of architecture combining memory cells and transistors have been used to demonstrate artificial synaptic arrays, they usually present limited scalability and high power consumption. Transistor-free analog switching devices may overcome these limitations, yet the typical …
It should be possible to build a silicon version of the human cerebral cortex with the transistor technology that was in production in 2013. The resulting machine would take up less than a cubic meter of space and consume less than 100 watts, not too far from the human brain. This article is summarizing the …