Results 251 to 260 of about 3,322,214 (305)

Large‐Scale and Highly Reliable Hopfield Neural Networks Using Vertical NAND Flash Memory for the In‐Memory Associative Computing

open access: yesAdvanced Intelligent Systems, EarlyView.
Large‐scale Hopfield neural networks (HNNs) for associative computing are implemented using vertical NAND (VNAND) flash memory. The proposed VNAND HNN with the asynchronous update scenario achieve robust image restoration performance despite fabrication variations, while significantly reducing chip area (≈117× smaller than resistive random‐access ...
Jin Ho Chang   +4 more
wiley   +1 more source

Characteristics, Management, and Utilization of Muscles in Musculoskeletal Humanoids: Empirical Study on Kengoro and Musashi

open access: yesAdvanced Intelligent Systems, EarlyView.
Musculoskeletal humanoids exhibit rich biomechanical properties that remain insufficiently unified in prior discussions. This article systematically categorizes muscle characteristics into five properties: redundancy, independency, anisotropy, variable moment arm, and nonlinear elasticity, and analyzes their combined effects on control.
Kento Kawaharazuka   +2 more
wiley   +1 more source

Contact Force Estimation of Continuum Robots without Embedded Sensors: A Review

open access: yesAdvanced Intelligent Systems, EarlyView.
This review surveys methods for estimating contact forces in continuum robots without embedded sensors. It explains why contact force matters, classifies force patterns, and groups existing methods into three approaches based on actuation, deformation, and environment information.
An Hu, Yu Sun
wiley   +1 more source
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Cognitive Biases

Filosofiya Referativnyi Zhurnal, 2021
The review examines the causes and conditions of the appearance of cognitive distortions in thinking, as well as their consequences, and analyzes some specific types of cognitive errors.
Lyubov Bobrova
semanticscholar   +5 more sources

Cognitive Biases

Online (Weston, Conn.)
Artificial Intelligence (AI) systems, while advancing software development, are often susceptible to cognitive biases that lead to unfair outcomes. This study explores the roles of confirmation bias, anchoring bias, and automation bias in influencing AI ...
Sheriff Adepoju, Mildred Adepoju
semanticscholar   +4 more sources

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