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

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

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

The ability of computers to learn on their own by using data is known as machine learning. It is closely related to artificial intelligence ...

Artificial intelligence (AI) is a broad term used to describe various types of virtual "intelligence" designed to replicate aspects of human cognitive abilities. Machine learning (ML) is a type of AI, ...

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

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

The key to developing flexible machine-learning models that are capable of reasoning like people do may not be feeding them oodles of training data. Instead, a new study suggests, it might come down ...