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

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

Read more about AI brings new hope to Africa’s health crisis; skills shortages slow real-world impact on Devdiscourse ...

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 ...

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 ...

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

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

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

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 ...

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

An Oak Ridge panel discussed artificial intelligence, comparing its impact to past disruptive technologies like railroads and ...

Deep learning algorithms effectively detect chronic optic neuritis atrophy patterns, but no models currently exist for acute phase diagnosis.