Results 181 to 190 of about 28,093 (321)

A Literature Survey on Potential Private User Information Leakage in Metaverse Applications

open access: yesAdvanced Intelligent Systems, EarlyView.
This survey explores potential privacy risks in the Metaverse, focusing on personal data inferred from virtual reality headsets embedded with passive brain‐computer interfaces (BCI). It reviews how age, gender, and ethnicity can be predicted using neurophysiological signals, (e.g., electroencephalogram). The survey also explores future threats from non‐
Mina Jaberi, Tiago H. Falk
wiley   +1 more source

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

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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