A chair can still look like a chair even when its surface is reduced to a sparse cloud of points. Humans are remarkably good ...

From Facebook friend circles to hidden influencer groups, community detection in social networks is evolving fast. Researchers are combining deep learning, graph neural networks, and advanced ...

Overview: Seven carefully selected OpenCV books guide beginners from basics to advanced concepts, combining theory, coding ...

Target identification is a critical and challenging step in drug discovery, with only a small fraction of human genes ...

From rural clinics to cutting-edge labs, AI and biosensing technologies are revolutionizing how sickle cell disease is detected and monitored. These tools promise faster, more accurate, and more ...

This Collection calls for submissions of original research into techniques that facilitate the advancement of deep learning for image analysis and object detection, driving computer vision forward and ...

AI-based deep learning models can detect interstitial lung disease from lung ultrasound images in patients with systemic ...

Machine learning and deep learning models are now widely used to classify disease cases, forecast outbreaks, and analyze epidemiological trends, often achieving high levels of accuracy in controlled ...

Astronomers are turning to GPUs to find needles in the galactic haystack.

An exploration of how targeted nanoparticles and artificial intelligence algorithms combine to locate prostate cancer earlier ...

MSU Denver’s AI aims to predict river flows weeks to months ahead. State-funded work could change how Colorado manages water.

Image courtesy by QUE.com How Xoople and L3Harris Are Pioneering Earth‑AI Satellites for a Smarter Planet The convergence of ...