Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...

A research team has introduced a lightweight artificial intelligence method that accurately identifies wheat growth stages ...

If you want to spoil a sailor's day, then a ship collision is the way to do it. That's why Texas A&M University has come up ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work ...

AI algorithms, trained on historical data reflecting men's sports dominance, may be gatekeeping sports content on social ...

From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of ...

A research team introduces a fully automated, non-destructive phenotyping platform that combines X-ray fluorescence microscopy with computer vision and machine learning.

NITK develops SVALSA, a machine learning-based landslide warning system for the Western Ghats, enhancing disaster ...

Well, sort of. Machine learning, an older form of AI, has long been used in all sorts of scientific research. One branch, called deep learning, forms part of AlphaFold, a Nobel Prize–winning tool for ...

Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...