Results 191 to 200 of about 92,710 (270)

Designing Memristive Materials for Artificial Dynamic Intelligence

open access: yesAdvanced Intelligent Discovery, EarlyView.
Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
wiley   +1 more source

Decolonizing mental health: Rethinking implementation science from the ground up. [PDF]

open access: yesGlob Ment Health (Camb)
Agudelo-Hernández F   +2 more
europepmc   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong   +5 more
wiley   +1 more source

Inquisitive Neighborhood Logic. [PDF]

open access: yesJ Logic Lang Inf
Ciardelli I.
europepmc   +1 more source

A High‐Precision Dynamic Movement Recognition Algorithm Using Multimodal Biological Signals for Human–Machine Interaction

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article describes a multimodal fusion data acquisition and processing system about electromyography for dynamic movement recognition and bioelectrical impedance for key posture recognition. In addition, a new dynamic–static fusion algorithm strategy is designed.
Chenhao Cao   +5 more
wiley   +1 more source

Gaze‐Engineered 3D Augmented Reality

open access: yesAdvanced Intelligent Systems, EarlyView.
Augmented Reality (AR) systems serve as a critical interface bridging users with the metaverse. This study explores the application of human factors engineering in metaverse development, specifically investigating the integration of eye‐tracking technology to enhance AR display performance.
Naiqin Zhao   +3 more
wiley   +1 more source

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