Asynchronous Distance Learning Performance and Knowledge Retention of the National Institutes of Health Stroke Scale Among Health Care Professionals Using Video or e-Learning: Web-based Randomized ...

Surya, an AI model developed by NASA and IBM, tries to find hidden patterns in solar data to detect solar flares and winds. NASA and IBM have released a new open-source machine learning model to help ...

Explore five key research patterns shaping the future of deep learning. Whether you're a student, researcher, or enthusiast, these insights will deepen your understanding of AI advancements.

SIOUX FALLS, S.D. (KELO) — A Sioux Falls man who survived a stroke came home from the hospital this week. Kevin Turner is a father of three and works as a chef. While he’s made strides in his recovery ...

Abstract: In the 3-D optical metrology, single-shot deep learning-based structured light profilometry (SS-DL-SLP) has gained attention because of its measurement speed, simplicity of optical setup, ...

Stroke is the second leading cause of death globally. Ischemic stroke, strongly linked to atherosclerotic plaques, requires accurate plaque and vessel wall segmentation and quantification for ...

Stroke is the second leading cause of death globally. Ischemic stroke, strongly linked to atherosclerotic plaques, requires accurate plaque and vessel wall segmentation and quantification for ...

“Forgive me, I miss him,” Muhammad Mainul Islam, a cousin of the slain NYPD officer, told reporters with tears in his eyes NYPD/X The father of an off-duty police officer shot and killed in a New York ...

A tiny brain no bigger than a sesame seed may hold the key to transforming artificial intelligence (AI) and robotics, thanks to groundbreaking research revealing how bees use their flight movements to ...

ABSTRACT: In response to the problems of uneven development of students’ musical ability, vague learning design goals, and weak activity organization structure in primary school singing teaching, this ...

Abstract: Deep learning (DL)-based nonintrusive load monitoring (NILM) methods face significant challenges due to the high cost of acquiring appliance annotations as training labels. While existing ...