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.

You can’t bring your AC to space, unfortunately, but innovative flow boiling and condensation research might lead to lighter, more efficient heating and cooling on spacecraft.

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

Although computer scientists may initially treat data bias and error as a nuisance, researchers argue it’s a hidden treasure trove for reflecting societal values.

In a first, researchers have observed how lithium ions flow through a battery interface, which could help engineers optimize the material’s design.

Researchers use synthetic data to improve a model’s ability to grasp conceptual information, which could enhance automatic captioning and question-answering systems.

The system could improve image quality in video streaming or help autonomous vehicles identify road hazards in real-time.

“Lightning” system connects photons to the electronic components of computers using a novel abstraction, creating the first photonic computing prototype to serve real-time machine-learning inference requests.

Coupling engineered bacteria with low-power electronics could be highly effective in diagnosis, treatment of bowel diseases.