Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

Schizophrenia is a severe and often highly debilitating psychiatric disorder characterized by distorted emotions, thinking ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

Cardiovascular disease continues to be the leading cause of death worldwide. To save lives, constantly improving diagnostic ...

Machine learning models accurately predict survival after surgery for upper tract urothelial cancer, supporting personalised follow up and adjuvant treatment decisions.

Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...

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

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...

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