Ionic Liquid-Based Reservoir Computing: The Key to Efficient and Flexible Edge Computing

Time scale of signals commonly produced in living environments. The response time of the ionic liquid PRC system developed by the team can be tuned to be optimized for processing such real-world signals.
The ionic liquid PRC system response can be tuned to be optimized for processing a broad range of signals by changing its viscosity through adjusting the cationic side chain length.
Input signal conversion through the ionic liquid-based PRC system. The reservoir output in the form of current response (top and middle) to an input voltage pulse signal (bottom) are shown. If the current decay (dielectric relaxation) is too fast/slow, it reaches its saturation value before the next signal input and no history of the previous signal is retained (middle image). Whereas, if the current response attenuates with a relaxation time that is properly matched with the time scales of the input pulse, the history of the previous input signal is retained (top image).

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Tokyo University of Science (TUS) is one of the most well-known, respected, and the largest science-specialized private research universities in Japan.

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Tokyo University of Science

Tokyo University of Science

Tokyo University of Science (TUS) is one of the most well-known, respected, and the largest science-specialized private research universities in Japan.

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