A machine-learning model trained on fewer than 300 molecules has flagged diatomic pairs with record-high electric dipole ...

Researchers at Trinity College Dublin have found that a machine learning model could help clinicians predict which people with depression are more likely to improve with digital cognitive behavioral ...

A computational method called scSurv, developed by researchers at Institute of Science Tokyo, links individual cells to ...

Chemists may soon have one less rigorous step to worry about when searching for the right molecules to accomplish their highly specific innovation needs. Scientists have now built a new machine ...

Characterized by weakened or damaged heart musculature, heart failure results in the gradual buildup of fluid in a patient's lungs, legs, feet, and other parts of the body. The condition is chronic ...

A team from the University of Córdoba is using artificial intelligence to forecast the annual solar energy available in ...

A deep learning model trained on more than 14,000 Pakistani news articles can spot misinformation with 96% accuracy, according to a new report in academic journal Scientific Reports. It's the most ...

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...

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, ...

Shell India, in collaboration with Atal Innovation Mission (AIM), NITI Aayog and Learning Links Foundation (LLF), launched ...