Larry Hardesty, MIT News Office

latest from Larry Hardesty, MIT News Office

Energy Efficiency

Integrating optical components into existing chip designs

April 27, 2018

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

January 4, 2018

Discrete Manufacturing

Drones relay RFID signals for inventory control

September 3, 2017

Discrete Manufacturing

Automatic image retouching for phone, vision applications

August 15, 2017

Info Management

Bringing neural networks to cellphones

August 4, 2017

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

June 11, 2017

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

June 6, 2017

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

April 7, 2017

The components that make up the printable device. Courtesy: Subramanian Sundaram, Massachusetts Institute of Technology

Researchers developing 3-D printed skin for robots

March 30, 2017

Researchers from MIT's Microsystems Technologies Laboratories (MTL) presented a power converter that reduces its resting power consumption by 50%. Courtesy: MIT

Energy Efficiency

Efficient power converter for the IoT developed

February 28, 2017

Researchers at MIT’s Microsystems Technology Laboratories have built a low-power chip specialized for automatic speech recognition. With power savings of 90 to 99%, it could make voice control practical for relatively simple electronic devices. Courtesy:

Asset Management

Low-power chip developed for speech recognition

February 24, 2017

Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) are trying to improve automated planners by giving them the benefit of human intuition. By encoding the strategies of high-performing human planners in a machine-readab

Asset Management

Researchers adding human intuition to planning algorithms

February 17, 2017

Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory and its Laboratory for Information and Decision Systems have designed a new algorithm that makes it much more practical to select diverse subsets from a much larger dataset. Co

Asset Management

Data diversity boosts machine learning

December 23, 2016