Postdoc Shaniel Bowen studies women's sexual anatomy and health while also working to interest young women in STEM careers.

Work by MIT engineers could lead to plethora of new applications, including better detectors for nuclear materials at ports.

By providing plausible label maps for one medical image, the Tyche machine-learning model could help clinicians and researchers capture crucial information.

The device, based on simple tetromino shapes, could determine the direction and distance of a radiation source, with fewer detector pixels.

Researchers create a curious machine-learning model that finds a wider variety of prompts for training a chatbot to avoid hateful or harmful output.

Most antibiotics target metabolically active bacteria, but with artificial intelligence, researchers can efficiently screen compounds that are lethal to dormant microbes.

New modular, spring-like devices maximize the work of live muscle fibers so they can be harnessed to power biohybrid bots.

The advance could help make 3D printing more sustainable, enabling printing with renewable or recyclable materials that are difficult to characterize.

An MRI method purported to detect neurons’ rapid impulses produces its own misleading signals instead, an MIT study finds.

MIT scientists have tackled key obstacles to bringing 2D magnetic materials into practical use, setting the stage for the next generation of energy-efficient computers.