An anomaly-detection model developed by SMART utilizes machine learning to quickly detect microbial contamination.

This robotic system uses radio frequency signals, computer vision, and complex reasoning to efficiently find items hidden under a pile.

MIT alumni-founded Overjet analyzes and annotates dental X-rays to help dentists offer more comprehensive care.

A new system lets robots manipulate soft, deformable material into various shapes from visual inputs, which could one day enable better home assistants.

Inspired by fireflies, researchers create insect-scale robots that can emit light when they fly, which enables motion tracking and communication.

MIT engineers expand the capabilities of these ultrasensitive nanoscale detectors, with potential uses for quantum computing and biological sensing.

The system rapidly scans the genome of cancer cells, could help researchers find targets for new drugs.

A new technique in computer vision may enhance our three-dimensional understanding of two-dimensional images.

Using this diagnostic, doctors could avoid prescribing antibiotics in cases where they won’t be effective.

The new design is stackable and reconfigurable, for swapping out and building on existing sensors and neural network processors.