MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...

A team from the Faculty of Medicine and Health Sciences and the Institute of Neurosciences at the University of Barcelona ...

Across the University of Pennsylvania Health System, scientists are now using AI to enhance their understanding of biological systems and modern medicine.

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...

Researchers worked with the Federal Reserve to create a predictive model that assesses hundreds of institutional ...

Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

Synergy Amps, which has long looked at the amplifier world in alternative ways, has debuted its new machine-learning power amp technology for “a no-compromise amplifier solution.” The tech is debuting ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

SRC, a not-for-profit defense research and development company headquartered in Syracuse with an office in Rome on the ...

While demand planning accuracy currently hovers around 60%, DLA officials aim to push that baseline figure to 85% with the help of AI and ML tools. Improved forecasting will ensure the services have ...