Nanowerk March 27, 2023
Physical reservoir computing is a computational paradigm that enables spatiotemporal pattern recognition to be performed directly in matter. The use of physical matter leads the way toward energy-efficient devices capable of solving machine learning problems without having to build a system of millions of interconnected neurons. An international team of researchers (Germany, Belgium) proposed a high-performance “skyrmion mixture reservoir” that implemented the reservoir computing model with multidimensional inputs. This implementation solved spoken digit classification tasks with an overall model accuracy of 97.4% and a < 1% word error rate. According to the researchers due to the quality of the results and the low-power properties of magnetic texture reservoirs, it is evident that skyrmion fabrics are compelling candidates for reservoir computing… read more. Open Access TECHNICAL ARTICLEÂ
Schematic of a multicontact skyrmion reservoir with 39 electrical contacts on each side. Credit: Advanced Intelligent Systems, 22 March 2023Â