Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...

A powerful new software tool that can accurately predict the performance of biofilters used by the water industry could ...

Physics-based ML framework designs IDPs—biomolecules without fixed structures that underlie key functions and diseases such as Parkinson’s.

The steady rise of electric vehicles and renewable energy systems has pushed batteries to the limit. With cars, drones, and ...

Researchers are turning to artificial intelligence (AI) to help design the next generation of antibiotics to combat rising ...

AI-powered seizure detection offers up to 44.8% improved performance for predicting seizures compared to baseline methods.

This FAQ explores the fundamental architecture of neural networks, the two-phase learning process that optimizes millions of ...

Platforms like Stats Edge and GRID Insights have made such systems commercially viable, combining player and team data, projection engines, real-time match tracking, and predictive features. GRID ...

Tokamaks are machines that are meant to hold and harness the power of the sun. These fusion machines use powerful magnets to ...

Oil spills can be among the most devastating environmental disasters, with the potential to severely damage marine ecosystems ...