Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

Machine translators have made it easier than ever to create error-plagued Wikipedia articles in obscure languages. What ...

Brooks, who co-founded iRobot and spent decades at MIT, is particularly skeptical of companies like Tesla and Figure trying ...

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Gain an edge in everyday life with books that sharpen your decisions, boost charisma, speed up learning, and give you tools ...

Amid high expectations for quantum technology, a new paper in Science reports a proven quantum advantage. In an experiment, ...

MIT researchers developed an interactive, AI-based system that enables users to rapidly annotate areas of interest in new biomedical imaging datasets, without training a machine-learning model in ...

MIT researchers developed an AI tool, MultiverSeg, to simplify the annotation of medical images for clinical research.

Annotating regions of interest in medical images, a process known as segmentation, is often one of the first steps clinical ...