Adam Zewe

Technique developed to help 2D materials expand

A technique that accurately measures how atom-thin materials expand when heated could help engineers develop faster, more powerful electronic devices.

Machine learning facilitates turbulence tracking in fusion reactors

MIT researchers have developed a machine learning approach that can affect the energy generated during fusion reactions, with implications for reactor design.

Improving deep learning with light photonics

A new method uses optics to accelerate machine-learning computations on smart speakers and other low-power connected devices.

Collaborative machine learning preserves privacy

Federated learning is a collaborative method for training a machine-learning model that keeps sensitive user data private.

Soft actuators in robots emit light in colors, patterns

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.

Stronger security systems for smart devices

MIT researchers demonstrate two security methods that efficiently protect analog-to-digital converters from powerful attacks that aim to steal user data.

Easier ways to teach robots new skills

MIT researchers have developed a technique that enables a robot to learn a pick-and-place task with only a handful of human demonstrations.

Teaching robots to manipulate soft objects

Researchers have developed a technique that could enable a robot to manipulate squishy objects like pizza dough or soft materials like clothing.

Quantum circuits developed for noise resiliency

Researchers are working on developing a technique that makes the quantum circuit itself resilient to noise to improve quantum computing's performance.

Helping humans understand robots

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.