Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular ...
The Next Frontier of Machine Learning: 2026 Breakthroughs and the Rise of World Models The landscape of artificial intelligence and ...
Finding high-performing catalysts, which are used to accelerate processes from chemical manufacturing to energy production, ...
Infinite dilution activity coefficient is a key thermodynamic parameter in solvent design for chemical processes. Although ...
A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...
Principal Developer Janmejaya Mishra explores how AI and machine learning are advancing predictive intelligence systems ...