New algorithms enable efficient machine learning with ... - MIT News
Jul 30, 2025 · MIT researchers designed a computationally efficient algorithm for machine learning with symmetric data that also requires fewer data for training than conventional approaches. Their work …
Machine learning | MIT News | Massachusetts Institute of Technology
4 days ago · MIT CSAIL and LIDS researchers developed a mathematically grounded system that lets soft robots deform, adapt, and interact with people and objects, without violating safety limits.
AI learns how vision and sound are connected, without human ... - MIT …
May 22, 2025 · A new machine-learning model learns to pinpoint exactly where a particular sound occurs in a video clip without the need for human intervention. The model could have applications in …
A faster way to solve complex planning problems - MIT News
Apr 16, 2025 · MIT researchers developed a machine-learning-guided technique to solve complex, long-horizon planning problems more efficiently than some traditional approaches, while arriving at an …
An anomaly detection framework anyone can use - MIT News
May 28, 2025 · MIT PhD candidate Sarah Alnegheimish’s research interests reside at the intersection of machine learning and systems engineering. Her objective: to make machine learning systems more …
“Periodic table of machine learning” could fuel AI discovery
Apr 23, 2025 · After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, MIT researchers organized them into a “periodic table of machine learning” that can …
New model predicts a chemical reaction’s point of no return
Apr 23, 2025 · MIT researchers developed a machine-learning model that can predict the structures of transition states of chemical reactions in less than a second, with high accuracy. Their model could …
New machine-learning application to help researchers predict ... - MIT …
Jul 24, 2025 · MIT researchers developed ChemXploreML, a new desktop application that provides an automated and user-friendly approach to predicting molecular properties using machine learning, …
MIT News - Machine learning
The approach combines physics and machine learning to avoid damaging disruptions when powering down tokamak fusion machines. New prediction model could improve the reliability of fusion power …
Learning the language of molecules to predict their properties | MIT ...
Jul 7, 2023 · A new MIT framework uses machine learning to simultaneously predict molecular properties and generate new molecules using only a small amount of data for training.