The advance opens a path to next-generation devices with unique optical and electronic properties.

The results open the door to exploring superconductivity and other exotic electronic states in three-dimensional materials.

The SecureLoop search tool efficiently identifies secure designs for hardware that can boost the performance of complex AI tasks, while requiring less energy.

Complimentary approaches — “HighLight” and “Tailors and Swiftiles” — could boost the performance of demanding machine-learning tasks.

A newly discovered type of electronic behavior could help with packing more data into magnetic memory devices.

MIT engineers develop a long, curved touch sensor that could enable a robot to grasp and manipulate objects in multiple ways.

“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.

The system could be used for battery-free underwater communication across kilometer-scale distances, to aid monitoring of climate and coastal change.

MIT system demonstrates greater than 100-fold improvement in energy efficiency and a 25-fold improvement in compute density compared with current systems.