Introduction Atrial fibrillation (AF) is the leading cause of cardioembolic stroke and is associated with increased stroke severity and fatality. Early identification of AF is essential for adequate ...
Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in ...
At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of ...
Scientists have engineered a protein able to record the incoming chemical signals of brain cells (as opposed to just their ...
University of Arizona researchers in the Gutruf Lab have developed a comfortable, easy-to-use wearable device that incorporates artificial intelligence to detect subtle warning signs of frailty, ...
A new study by researchers at the Icahn School of Medicine at Mount Sinai suggests that artificial intelligence (AI) could ...
Abstract: Drowsiness while driving is a core threat to global safety on roads, resulting in significant traffic accidents and fatalities. Efficient strategies to combat drowsy driving are an emerging ...
Abstract: Driver drowsiness remains a critical contributor to road accidents globally, necessitating reliable and timely detection systems to enhance safety. Electroencephalography (EEG), with its ...
TYLER, Texas – The University of Texas at Tyler is a top 50 finalist of the 2026 Baylor New Venture Competition March 27 – 28 in Waco. This business plan and elevator pitch competition showcases ...
This repository is the official implementation of ESCNet:Edge-Semantic Collaborative Network for Camouflaged Object Detection For ease of use, we create a eval.sh script and a use case in the form of ...
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