Results 201 to 210 of about 42,493 (274)

Insect‐Inspired Resilient Machines

open access: yesAdvanced Intelligent Systems, EarlyView.
This study presents a decentralized resilient control for legged robots, enabling self‐organized locomotion and rapid adaptation to extreme leg loss within seconds. It encodes the self‐embodied resilience strategies observed in stick insects and relies on neural dynamics with synaptic plasticity, minimal sensory feedback, and dynamic robot–environment ...
Thirawat Chuthong   +3 more
wiley   +1 more source

Wearable Metamaterials with Embodied Intelligence for Programmable Control of Human Limbs Tremor

open access: yesAdvanced Intelligent Systems, EarlyView.
Resulting from alternating muscle contractions, tremors can severely limit human ability to perform everyday tasks like walking or talking, due to their disruptive nature. Medication and surgery may not always effectively address tremor control. A wearable device embodying programmable smart metamaterials with adaptable intelligence to meet the demand ...
Braion Barbosa de Moura   +2 more
wiley   +1 more source

Spikoder: Dual‐Mode Graphene Neuron Circuit for Hardware Intelligence

open access: yesAdvanced Intelligent Systems, EarlyView.
Spikoder, a graphene leaky integrate‐and‐fire circuit that operates as an encoder and a neuron in a spiking neural network (SNN), is introduced. A Spikoder‐driven double‐layer SNN shows an accuracy of 97.37% for the classification of the Modified National Institute of Standards and Technology dataset, demonstrating its potential as a key building block
Kannan Udaya Mohanan   +4 more
wiley   +1 more source

Bidirectional multi-nodes quantum teleportation using discrete-time quantum walk. [PDF]

open access: yesSci Rep
Ikken N   +6 more
europepmc   +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

Rapid and Precise Geometric Measurement of Injection‐Molded Axial Fans Using Convolutional Neural Network Regression

open access: yesAdvanced Intelligent Systems, EarlyView.
This study presents a vision‐based artificial intelligence (AI) system that rapidly and accurately measures deformation in injection‐molded axial fan blades. By combining deep learning with explainable AI techniques, the system achieves high prediction accuracy while reducing inspection time by over 90%.
Keuntae Baek   +6 more
wiley   +1 more source

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