US researchers say a self-supervised machine-learning tool can identify long-term physical defects in solar assets weeks or years before conventional inspections, potentially reducing operations and ...

The software tool developed by Stony Brook University uses self-supervised learning to detect long-term solar equipment ...

Overview: Machine learning failures usually start before modeling, with poor data understanding and preparation.Clean data, ...

Award recognizes Neutrinos’ contribution to advancing AI adoption across the APAC region ...

CIGO Tracker's AI system continuously refines its predictions by analyzing new delivery data and identifying emerging patterns. The machine learning algorithms adapt to seasonal variations, changing ...

This special report introduces small area estimation as a modern approach for producing reliable, stand-level forest ...

The new tool analyses a decade of data to predict volumes by flight and truck, helping 75 warehouses plan labour and reduce ...

A new Israeli study suggests that machine-learning models may soon give growers a far more precise way to predict how much water their crops use each day, while also laying the groundwork for earlier ...

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant measurements and environmental data. By training models on seven years of ...

Automation experts from Beckhoff, DigiKey and Siemens Digital Industries explain how AI enhances motion control across ...

Worldwide Flight Services (WFS), a SATS company, has developed a new digital tool using machine learning algorithms trained ...

For Week 16 NFL betting, SportsLine AI has evaluated the NFL odds and provided NFL betting picks for all 16 games. You can ...