Everstream Analytics released its 2026 risk report determining that extreme weather is the second-biggest threat on the ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

The exponential growth of the shelf image recognition AI market presents opportunities driven by increasing retail automation ...

The software tool uses self-supervised learning to detect long-term defects in solar assets weeks or years before ...

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

Tadeo Ramirez-Parada studied the timing of plant flowering for his PhD — but he didn’t touch a single petal. Instead, he ...

The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...

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

Using machine learning to guide microscopes could reveal greater insights into the brain's connectome and deepen our ...

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 ...

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