MIT researchers have recently unveiled an innovative framework that organizes artificial intelligence (AI) algorithms in a ...

Researchers made a technique that improves the trustworthiness of machine-learning models, which could help improve the accuracy and reliability of AI predictions for high-stakes settings such health ...

MIT CSAIL researchers have introduced linear oscillatory state-space models (LinOSS), inspired by neural oscillations in the brain, to enhance machine learning’s ability to handle long data sequences.

The ambiguity in medical imaging can present major challenges for clinicians who are trying to identify disease. For instance ...

Researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a novel artificial ...

The advent of AI as a widely available business tool has given rise to numerous applications that are proliferating at a ...

A new MIT-designed circuit achieves record-setting nonlinear coupling, allowing quantum operations to occur dramatically ...

Since its founding 19 years ago as a pioneering collaboration with Portuguese universities, research institutions and ...