Grants fund studies of honeybee tracking, glass building materials, and defining excellence in human movement.

By analyzing epigenomic and gene expression changes that occur in Alzheimer’s disease, researchers identify cellular pathways that could become new drug targets.

MIT engineers and collaborators developed a solar-powered device that avoids salt-clogging issues of other designs.

Inspired by physics, a new generative model PFGM++ outperforms diffusion models in image generation.

The advance brings quantum error correction a step closer to reality.

Researchers can use the model to predict how engineered forms of insulin would perform in human patients, making it easier to bring these drugs to clinical trials.

The device contains encapsulated cells that produce insulin, plus a tiny oxygen-producing factory that keeps the cells healthy.

The 27 finalists — representing every school at MIT — will explore the technology’s impact on democracy, education, sustainability, communications, and much more.

With Style2Fab, makers can rapidly customize models of 3D-printable objects, such as assistive devices, without hampering their functionality.

The machine-learning method works on most mobile devices and could be expanded to assess other motor disorders outside of the doctor’s office.