Results 81 to 90 of about 478 (216)

Neuromorphic Devices and Computing for Sensing, Memory, and Control

open access: yesAdvanced Science, EarlyView.
This review introduces neuromorphic devices made from diverse materials. These devices mimic neuronal functions and architectures and, when integrated with artificial or biological computing, can form closed loops with neurons for pressure, optical, acoustic, and biochemical sensing and modulation.
Zhengguang Zhu   +2 more
wiley   +1 more source

Entorhinal Astrocyte Transplants Restore Spatial Exploration and Alleviate Amyloid‐Beta Pathology in Alzheimer's Mice

open access: yesAdvanced Science, EarlyView.
Impaired MEC astrocytic Ca2+ signaling is associated with fragmented spatial exploration in AD mice. Region‐specific glial progenitor transplantation generates engrafted astrocytes that are accompanied by improved AQP4 polarization, reduced amyloid‐β‐associated pathology, attenuated neuroinflammation, preserved synaptic integrity, and ameliorated ...
Fengjuan Wu   +16 more
wiley   +1 more source

Deep‐Learning‐Based Denoising for Improved Phase Precision in Electron Holography of Electromagnetic Fields in Nanoscale Materials

open access: yesAdvanced Science, EarlyView.
Low‐dose electron holography is limited by shot noise, which buries weak phase signals. HoloDenoiser, a physics‐informed network that works simultaneously in the spatial and frequency domains, locates and protects the holographic sideband while suppressing noise in the hologram.
Ye Luo   +10 more
wiley   +1 more source

Covert Optical Fingerprints Within Overt Structural Colors via Cascaded Cavity Resonances

open access: yesAdvanced Science, EarlyView.
Cascaded photonic–plasmonic cavities combine vivid structural colors with hidden stochastic optical fingerprints in a single monolithic platform. Layered cavities control the overt appearance, while disordered nanogap resonances generate covert scattering with limited mutual influence.
Gyurin Kim   +6 more
wiley   +1 more source

An Expertise Transfer Framework For Autonomous Surgical Assistance

open access: yesAdvanced Science, EarlyView.
This study introduces an expertise transfer framework for procedure‐spanning autonomous surgical assistance. By emulating expert logic through hierarchical perception, attention modeling, and knowledge graph‐based decision‐making, the system provides near‐expert surgical view assistance.
Yuan Gao   +12 more
wiley   +1 more source

Enhanced Acoustic Adhesion Enabling Agile and Small Wall‐Climbing Robot Design With Anisotropic Origami Structure

open access: yesAdvanced Science, EarlyView.
This 28 g robot incorporates innovative ring structures and anisotropic origami springs to achieve high speeds and exceptional load capacity. It successfully carries a 100 g payload while ascending walls or ceilings at speeds of up to 8 and 20 cm/s, demonstrating enhanced adhesion and maneuverability over current climbing robots.
Xinxian Chen   +5 more
wiley   +1 more source

Crowd-Sourced Subjective Assessment of Adaptive Bitrate Algorithms in Low-Latency MPEG-DASH Streaming

open access: yesApplied Sciences
Video-centric applications have seen significant growth in recent years with HTTP Adaptive Streaming (HAS) becoming a widely adopted method for video delivery.
Syed Uddin   +3 more
doaj   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

open access: yesAdvanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho   +6 more
wiley   +1 more source

On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification

open access: yesAdvanced Electronic Materials, EarlyView.
ABSTRACT Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing attention for its low training cost and modest hardware requirements. Memristor‐based circuits are particularly promising for RC, as their intrinsic dynamics can reduce network size and parameter overhead in tasks such as time‐series ...
Rishona Daniels   +4 more
wiley   +1 more source

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