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 ...
A machine-learning model trained on fewer than 300 molecules has flagged diatomic pairs with record-high electric dipole ...
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 ...
Finding high-performing catalysts, which are used to accelerate processes from chemical manufacturing to energy production, ...
The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...
A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...
Infinite dilution activity coefficient is a key thermodynamic parameter in solvent design for chemical processes. Although ...
Principal Developer Janmejaya Mishra explores how AI and machine learning are advancing predictive intelligence systems ...