Energy-saving Brownian reservoir computing records and transfers hand gestures detected by skyrmion magnetic whirls
https://phys.org/news/2024-09-energy-magnetic.html
"better than using energy-intensive neural networks... recorded swipe left/ right hand gestures with Range-Doppler radar employing 2 Infineon Technologies radar sensors, converted into corresponding voltages... reservoir of multilayered triangular thin film stack with contacts at each corner. 2 contacts supply voltage, causing skyrmion chiral magnetic whirls to move within triangle from which detect complex motions... read-out process uses magneto-optical Kerr-effect microscope (future: magnetic tunnel junction)"
Related:
Spin-wave reservoir chips can enhance edge computing
https://phys.org/news/2024-10-reservoir-chips-edge.html
Quasi-convolution coding empowers streamlined reservoir computer
https://www.eurekalert.org/news-releases/1065407
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