Results 231 to 240 of about 7,314,717 (264)

Reservoir computing for network intrusion classification. [PDF]

PLoS One
Alam K, Bhuiyan MH, Hoque MA, Rana MS, Farid DM.   +4 more
europepmc   +1 more source

Celestial neuromorphics based on ferroelectric gallium oxide. [PDF]

Natl Sci Rev
Xu K, Guan Z, Pei M, Luo Y, Zhu Y, Yu X, Hao L, Gu S, Yao J, Li Z, Pei X, Zhang Y, Wang H, Wan C, Wan Q, Zhang R, Ye J.   +16 more
europepmc   +1 more source

Physical Reservoir Computing with Nano Magnets

Vacuum and Surface Science
openaire   +1 more source

Realization of the Bienenstock-Cooper-Munro rule in a single memristor. [PDF]

Nat Commun
Huang J, Huang A, Yang Q, Li P, Gao Q, Wang M, Xiao Z, Zhang X, Gao J, Geng X, Liu L, Du Y, Lu R, Chu PK, Di Z.   +14 more
europepmc   +1 more source

Physical reservoir computing: a tutorial [PDF]

Natural Computing
This tutorial covers physical reservoir computing from a computer science perspective. It first defines what it means for a physical system to compute, rather than merely evolve under the laws of physics.
Susan Stepney
exaly   +5 more sources

Task-adaptive physical reservoir computing [PDF]

Nature Materials, 2023
Reservoir computing is a neuromorphic architecture that may offer viable solutions to the growing energy costs of machine learning. In software-based machine learning, computing performance can be readily reconfigured to suit different computational ...
Kosuke Karube, Hidekazu Kurebayashi, Will Branford   +2 more
exaly   +5 more sources

Recent advances in physical reservoir computing: A review

Neural Networks, 2019
Reservoir computing is a computational framework suited for temporal/sequential data processing. It is derived from several recurrent neural network models, including echo state networks and liquid state machines. A reservoir computing system consists of a reservoir for mapping inputs into a high-dimensional space and a readout for pattern analysis ...
Naoki Kanazawa, Gouhei Tanaka, Akira Hirose   +2 more
exaly   +5 more sources

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CMOS MEMS Resonator for Physical Reservoir Computing

2023 IEEE SENSORS, 2023
Manu Garg, Yi Chiu, Hao-Chiao Hong
exaly   +3 more sources