Global solar radiation (Hg) is a foundational input for calculating evapotranspiration, crop growth, irrigation needs, and ...

Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...

Postdoctoral Researcher in Multimodal Machine Learning for Precision Cancer Medicine The Machine Learning in Biomedicine (MLBioMed) research group at the Institute for Molecular Medicine Finland (FIMM ...

In a market increasingly dominated by algorithms and machine learning, understanding AI-driven trading systems isn’t enough.

Discover why robots excel at math but struggle with human-like tasks. Explore Moravec's Paradox and the future of adaptable ...

IIM Indore Develops Model To Predict Machine Failures With High Precision; Promises Smarter Maintenance, Reduced Downtime Indore’s elite b-school and IIT Kanpur propose new statistical framework ...

Scientists have developed a new machine learning approach that accurately predicted critical and difficult-to-compute properties of molten salts, materials with diverse nuclear energy applications.

The Large Hadron Collider is one of the biggest experiments in history, but it’s also one of the hardest to interpret. Unlike ...

Objective Long-term azithromycin treatment effectively prevents acute exacerbations of chronic obstructive pulmonary disease ...