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

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

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

A new medical large language model (LLM) achieved over 91% accuracy in identifying female participants diagnosed with major ...

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

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

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

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

For the first time, researchers have used machine learning—a type of artificial intelligence (AI)—to identify the most ...

Advancing Superior Accuracy in Early Lung Cancer Detection Using Selective Metabolic Pathways and Data Enrichment for ...