Results 171 to 180 of about 2,582,876 (339)

Soft Magnetic Sensor Array for Amphibious Measurement of 3D Muscle Deformation Distribution for Human Motion Recognition

open access: yesAdvanced Intelligent Systems, EarlyView.
This article develops a soft magnetic sensor array to extract 3D and distributional muscle deformations, which has highly consistent measurements in amphibious environments, robustness to hydraulic pressure, and about 200 ms faster response than an inertial measurement unit, achieving over 98% classification accuracy and below 3% phase estimation ...
Yuchao Liu   +8 more
wiley   +1 more source

Kolmogorov–Arnold Network for Transistor Compact Modeling

open access: yesAdvanced Intelligent Systems, EarlyView.
This work introduces Kolmogorov–Arnold network (KAN) for the transistor—an architecture that integrates interpretability with high precision in physics‐based function modeling. The results reveal that despite achieving superior prediction accuracy for critical figures of merit, KAN demonstrates unique inherent challenges for transistor modeling ...
Rodion Novkin, Hussam Amrouch
wiley   +1 more source

Optical Neuromorphic Technology Catalyzes the Next‐Generation Mobile Communication Technology

open access: yesAdvanced Intelligent Systems, EarlyView.
Advancements in optical computing could revolutionize next‐generation wireless communication. The review highlights the role of photonic integrated circuits in implementing neural network operations and discusses their benefits, such as high computational density.
Xiaoxiong Song   +6 more
wiley   +1 more source

Harnessing Nonidealities in Analog In‐Memory Computing Circuits: A Physical Modeling Approach for Neuromorphic Systems

open access: yesAdvanced Intelligent Systems, EarlyView.
This work harnesses nonidealities in analog in‐memory computing (IMC) by training physical neural networks modeled with ordinary differential equations. A differentiable spike‐time discretization accelerates training by 20× and reduces memory usage by 100×, enabling large IMC‐equivalent models to learn the CIFAR‐10 dataset.
Yusuke Sakemi   +5 more
wiley   +1 more source

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