Larry Hardesty, MIT News Office

latest from Larry Hardesty, MIT News Office

Energy Efficiency

Integrating optical components into existing chip designs

Info Management

Neural network chip reduces power consumption

Energy efficient encryption for the IoT

Computer systems predict objects’ responses to physical forces

Industrial Networking

Processing a neural network’s mind and its ability to process language

Energy Efficiency

Device makes power conversion more efficient

Discrete Manufacturing

Drones relay RFID signals for inventory control

Discrete Manufacturing

Automatic image retouching for phone, vision applications

Info Management

Bringing neural networks to cellphones

New algorithms power a prototype system for helping visually impaired users avoid obstacles and identify objects. Courtesy: Massachusetts Institute of Technology (MIT)

Discrete Manufacturing

Algorithms for wearable devices help users, robots avoid obstacles

A GelSight sensor attached to a robot’s gripper enables the robot to determine precisely where it has grasped a small screwdriver, removing it from and inserting it back into a slot, even when the gripper screens the screwdriver from the robot’s camera. C

Giving robots a sense of touch

Researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) and Stanford University have developed an encryption system designed to disguises users' database queries so they reveal no private information. Courtesy: MIT

Encryption system developed to hide private information from database queries