Multilayer Reservoir Computing Based on Ferroelectric α‐In2Se3 for Hierarchical Information Processing (Adv. Mater. 48/2022)
Source abstract
Abstract
Reservoir Computing Physically implemented reservoir computing systems have aroused wide interest, due to their capability of efficiently handling temporally complex information. In article number 2108826, Ru Huang, Yuchao Yang, and co-workers present a multilayer reservoir system using ferroelectric In2Se3 as the key function material, which enables hierarchical information-processing capability that is suitable for time-series data processing.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Neural Networks and Reservoir Computing · Advanced Memory and Neural Computing · Optical Polarization and Ellipsometry
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Affiliations
Key Laboratory of Microelectronic Devices and Circuits (MOE) School of Integrated Circuits Peking University Beijing 100871 China
Center for Brain Inspired Chips Institute for Artificial Intelligence Peking University Beijing 100871 China
Center for Brain Inspired Intelligence Chinese Institute for Brain Research (CIBR) Beijing 102206 China
Beijing Academy of Artificial Intelligence Beijing 100084 China
References
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