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

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

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

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

Industry experts, competitors and even your customers are talking about machine learning and artificial intelligence. As they continue to grow in popularity, more companies than ever before are ...

Model predicts effect of mutations on sequences up to 1 million base pairs in length and is adept at tackling complex ...

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 ...

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 ...