Photonic Physical Reservoir Computing with Tunable Relaxation Time Constant.

ABSTRACT: Recent years have witnessed a rising demand for edge computing, and there is a need for methods to decrease the computational cost while maintaining a high learning performance when processing information at arbitrary edges. Reservoir computing using physical dynamics has attracted significant attention. However, currently, the timescale of the input signals that can be processed by physical reservoirs is limited by the transient characteristics inherent to the selected physical system. This study used an Sn-doped In₂ O₃ /Nb-doped SrTiO₃ junction to fabricate a memristor that could respond to both electrical and optical stimuli. The results show that the timescale of the transient current response of the device could be controlled over several orders of mag

SUBMITTER: Yamazaki Y 

PROVIDER: S-EPMC10797460 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature