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

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

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

According to the authors, incorporating a broad spectrum of biomarkers allows the models to reflect the continuous and ...

An AI model using deep transfer learning—the most advanced form of machine learning—has predicted spoken language outcomes ...

A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...

A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...

XRP (CRYPTO: XRP) sits near $1.90 with sentiment hitting levels not seen since before its last major rally. The Crypto Fear & ...

AI model using deep transfer learning – the most advanced form of machine learning – predicted with 92% accuracy spoken language outcomes at ...

MIT researchers have designed a printable aluminum alloy that’s five times stronger than cast aluminum and holds up at ...

Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...

A new method predicts leaf optical properties from traits, improving canopy light modeling and photosynthesis estimates in ...