Science, Space and Technology News 2024
Tohoku University researchers have created a theoretical model for energy-efficient, nanoscale computing using spin wave reservoir computing and spintronics technology. This innovation, detailed in npj Spintronics, paves the way for advanced neuromorphic devices capable of high-speed operations and applications in fields like weather forecasting and speech recognition.have created a theoretical framework for an advanced spin wave reservoir computing system that leverages spintronics.
In recent years, many advances in computational models inspired by the brain have been made. These artificial neural networks have demonstrated extraordinary performances in various tasks. However, current technologies are software-based; their computational speed, size, and energy consumption remain constrained by the properties of conventional electric computers.RC works via a fixed, randomly generated network called the ‘reservoir.
“Our study proposed a physical RC that harnessed propagating spin waves,” says Natsuhiko Yoshinaga, co-author of the paper and associate professor at the Advanced Institute for Materials Research . “The theoretical framework we developed utilized response functions that link input signals to propagating spin dynamics.
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