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Energy-saving computing with magnetic whirls

Researchers of the NIMFEIA consortium have managed to detect human hand gestures on the basis of Brownian reservoir computing, harnessing the diffusion and displacement of skyrmions. The article Gesture recognition with Brownian reservoir computing using geometrically confined skyrmion dynamics was published in Nature Communications.

Schematic representation of the dynamic Brownian reservoir computer: An electric voltage is employed to move a skyrmion on the triangular thin film. The colored rings represent different hand gestures. The motions performed by the skyrmion allow for the interpretation of the type of hand gesture detected by the system. Source: Grischa Beneke, JGU

If you want to know more about Brownian reservoir computing using skyrmions, check out our article in Nature Communications and the press release (available in German as well).

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