Results 181 to 190 of about 27,075 (284)

Microglial TSPAN4‐Dependent Migrasomes Promote Pathological Retinal Neovascularization via Immune‐Vascular Crosstalk

Advanced Science, EarlyView.
Combined high‐glucose and hypoxic stress switches microglia into a TSPAN4‐dependent migrasome‐producing state. These migrasomes deliver pro‐angiogenic signals to endothelial cells, activating HIF‐1α/VEGF signaling, disrupting vascular junctions, and fueling pathological neovascularization. This work uncovers migrasome‐mediated immune‐vascular crosstalk
Jingyi Xu, Jingfan Wang, Pengfei Ge, Qinyuan Gu, Hongying Li, Yuanyuan Fan, Haiyue Xie, Yangyang Lu, Yifan Lin, Xinjing Wu, Chengkun Wang, Ping Xie, Zizhong Hu   +12 more
wiley   +1 more source

CamIO in the Browser: A Cross-Platform Audio Label Tool for Tactile Graphics. [PDF]

MobileHCI
Ahmetovic D, Ezrouri K, Coughlan J, Manzoni M, Santo GD, Mascetti S.   +5 more
europepmc   +1 more source

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

Advanced 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, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

Accelerating Focused Ultrasound Modeling in Heterogeneous Spinal Cord Anatomy With Vision Transformer Operator Networks. [PDF]

Ultrasound Med Biol
Kumar A, Zhi X, Davidar AD, Kerensky MJ, Theodore N, Manbachi A.   +5 more
europepmc   +1 more source

People Counting and Positioning Using Low‐Resolution Infrared Images for FeFET‐Based In‐Memory Computing

Advanced Electronic Materials, EarlyView.
In this work, low‐resolution infrared imaging is combined with a 28 nm FeFET IMC architecture to enable compact, energy‐efficient edge inference. MLC FeFET devices are experimentally characterized, and controlled multi‐level current accumulation is validated at crossbar array level.
Alptekin Vardar, Li Zhang, Alexander Rehmer, Marc Lupp, Subhashree Baskaran, Osama Abdelaal, Franz Müller, Nandakishor Yadav, Bing Li, Thomas Kämpfe   +9 more
wiley   +1 more source

Home-Based Multimodal Exergame Prototype for Patients With Chronic Stroke: Cross-Sectional Content Validation and Prospective Single-Arm Feasibility Study. [PDF]

JMIR Serious Games
Keawtep P, Sittichoke C, Nitsaphawanit P, Euanjit P, Sungkarat S.   +4 more
europepmc   +1 more source

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

Advanced 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, Duna Wattad, Ronny Ronen, David Saad, Shahar Kvatinsky   +4 more
wiley   +1 more source

A Taxonomy of Six Perceptual Cues Underlying Photorealism in 3D-Rendered Architectural Scenes: A Cue-Based Narrative Review. [PDF]

J Imaging
Grašić M, Bernik A, Cviljušac V.
europepmc   +1 more source

Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization

Advanced Electronic Materials, EarlyView.
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali, David Lehninger, Florencio Sánchez, Ignasi Fina   +3 more
wiley   +1 more source

Accuracy-latency trade-offs and absent embedded validation in deep learning driver drowsiness detection: a PRISMA systematic review. [PDF]

Front Artif Intell
Salas Yupanqui CW, Llanque Tipo CE, Choquehuanca Huayhua FD, Condori-Coaquira AR, Mamani-Pari D, Humpiri-Flores ME, Tocto-Cano E.   +6 more
europepmc   +1 more source