Adam Zewe

Data transmission chip for decoding demonstrates strong energy efficiency

The chip developed by MIT researchers, which can decipher any encoded signal, could enable lower-cost devices that perform better while requiring less hardware.

Wireless technique helps quantum computing systems keep their cool

MIT researchers have developed a wireless technique that enables a super-cold quantum computer to send and receive data without generating too much error-causing heat.

Technique developed to improve machine-learning models’ reliability

MIT researchers have developed a machine-learning model to determine its confidence in a prediction while using no additional data.

Boosting quantum computing signals while reducing noise

Squeezing noise over a broad frequency bandwidth in a quantum computing system could lead to faster and more accurate quantum computing measurements.

Neural network models learning from examples without training

An MIT study shows how large language models can learn a new task from just a few examples, without the need for any new training data.

Quantum computing architecture designed to connect large-scale devices

MIT researchers have demonstrated directional photon emission, the first step toward extensible quantum interconnects, which could help connect large-scale devices.

Paper-thin solar cell can turn surfaces into power source

MIT researchers develop a scalable fabrication technique to produce ultrathin solar cells that can be seamlessly added to any surface. See video.

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.

Peripheral vision benefits for machines

MIT researchers have found similarities between how some computer-vision systems process images and how humans see out of the corners of their eyes.

Tiny materials lead to quantum computing advance

Using ultrathin materials to reduce the size of superconducting qubits may help make personal-sized quantum computing devices according to MIT researchers.

Artificial intelligence developed to understand object relationships

A machine-learning model developed by MIT researchers could enable robots to understand interactions in the world in the way humans do with artificial intelligence.

Giving robots social skills

A machine-learning system developed by MIT researchers can help robots understand and perform certain social interactions.

Avoiding shortcut solutions in artificial intelligence

A method developed by MIT researchers forces a machine-learning model to focus on more data when learning a task, which leads to more reliable predictions.

Control system enables four-legged robot to manage uneven terrain

MIT researchers have developed a system that improves the speed and agility of four-legged robots as they jump across gaps in the terrain. See video.

Using blockchain technology to protect robots

Blockchain technology as a communication tool for a team of robots could provide security and safeguard against deception.

Robot digs, finds objects under piles

An integrated robotic arm fuses visual data from a camera and radio frequency (RF) information from an antenna to find and retrieve objects, even when they are buried under a pile and fully out of view. See video.