Results 241 to 250 of about 101,043 (267)

Physical Reservoir Computing on a Soft Bio-Inspired Swimmer

Neural Networks
Bio-inspired Autonomous Underwater Vehicles with soft bodies provide significant performance benefits over conventional propeller-driven vehicles; however, it is difficult to control these vehicles due to their soft underactuated bodies. This study investigates the application of Physical Reservoir Computing (PRC) in the swimmer's flexible body to ...
Shan He, Patrick Musgrave
openaire   +2 more sources

Multifractal Analysis of Physical Reservoir Computer Structures

ASME 2024 Conference on Smart Materials, Adaptive Structures and Intelligent Systems
Abstract Physical reservoir computers combine sensing physical inputs and information processing in one single component to reduce the delay caused by data transmission. Physical reservoir computing uses the nonlinear dynamics of physical systems to process information and acts as a neural network for machine learning, allowing for ...
Mario A. Carvajal, Basanta R. Pahari, William S. Oates, Shan He, Patrick F. Musgrave   +4 more
openaire   +1 more source

Physical reservoir computing for Edge AI applications

The Innovation Materials
<p>Reservoir computing has emerged as an efficient computational paradigm for processing temporal and dynamic data, driving advancements in neuromorphic electronics for physical implementation. This review covers the advancements in neuromorphic devices for implementing physical reservoir computing, emphasizing device-level innovations that ...
Jianquan Liu, Guangdi Feng, Wei Li, Shenglan Hao, Suting Han, Qiuxiang Zhu, Bobo Tian, Chungang Duan, Junhao Chu   +8 more
openaire   +1 more source

Physical Reservoir Computing With Compliant Fiber Networks

ASME 2025 Conference on Smart Materials, Adaptive Structures and Intelligent Systems
Abstract Inspired by the webs of orb-weaving spiders, we explore the potential of compliant fiber networks to serve as mechanically intelligent physical reservoir computers. By exploiting the nonlinear dynamics inherent in the mechanical deformations of networks of connected fibers, we perform complex computational tasks without the ...
Apoorva Khairnar, Yogesh Phalak, Jun Wang, Ziyang Zhou, Johannes Rümmelein, Benjamin Jantzen, Suyi Li, Noel Naughton   +7 more
openaire   +1 more source

Multiplex-free physical reservoir computing with an adaptive oscillator

Physical Review E
Nonlinear oscillators can often be used as physical reservoir computers, in which the oscillator's dynamics simultaneously performs computation and stores information. Typically, the dynamic states are multiplexed in time, and then machine learning is used to unlock this stored information into a usable form.
Md Raf E Ul Shougat, XiaoFu Li, Edmon Perkins   +2 more
openaire   +2 more sources

Task-adaptive physical reservoir computing

Nature Materials, 2023
Oscar Lee, Kilian D Stenning, Jack C Gartside   +2 more
exaly  

CMOS MEMS Resonator for Physical Reservoir Computing

2023 IEEE SENSORS, 2023
Yi Chiu, Fang-Wei Tsai, Liang-Kai Wang, Yuan-Chieh Lee, Manu Garg, Hao-Chiao Hong   +5 more
openaire   +1 more source

Physical Reservoir Computing Based on Nanoscale Materials and Devices

Advanced Functional Materials, 2023
Yao Guo, Yang Chai
exaly  

American Cancer Society nutrition and physical activity guideline for cancer survivors

Ca-A Cancer Journal for Clinicians, 2022
Cheryl L Rock, Cynthia A Thomson, Carol L Howe   +2 more
exaly  

Tradeoffs with physical delay feedback reservoir computing

2021 IEEE Symposium Series on Computational Intelligence (SSCI), 2021
Tian Gan, Susan Stepney, Martin A. Trefzer   +2 more
openaire   +1 more source