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 ...

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 ...

In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...

As financial crime grows in scale, speed, and sophistication, banks are increasingly turning to artificial intelligence, ...

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

Structural economic models, while parsimonious and interpretable, often exhibit poor data fit and limited forecasting performance. Machine learning models, by contrast, offer substantial flexibility ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...