Adam Zewe, MIT News Office
A technique that accurately measures how atom-thin materials expand when heated could help engineers develop faster, more powerful electronic devices.
MIT researchers have developed a machine learning approach that can affect the energy generated during fusion reactions, with implications for reactor design.
A new method uses optics to accelerate machine-learning computations on smart speakers and other low-power connected devices.
Federated learning is a collaborative method for training a machine-learning model that keeps sensitive user data private.
MIT researchers have created insect-scale robots inspired by fireflies that can emit light when they fly, which enables motion tracking and communication. See video.
MIT researchers demonstrate two security methods that efficiently protect analog-to-digital converters from powerful attacks that aim to steal user data.
MIT researchers have developed a technique that enables a robot to learn a pick-and-place task with only a handful of human demonstrations.
Researchers have developed a technique that could enable a robot to manipulate squishy objects like pizza dough or soft materials like clothing.
Researchers are working on developing a technique that makes the quantum circuit itself resilient to noise to improve quantum computing's performance.
Researchers from MIT and Harvard suggest that applying theories from cognitive science and educational psychology to the area of human-robot interaction can help humans build more accurate mental models of their robot collaborators.