Rob Matheson

Articles

AI and Machine Learning April 24, 2020

Reducing AI’s carbon footprint

MIT researchers have developed an automated AI system for training and running certain neural networks that also cuts down the pounds of carbon emissions involved.

By Rob Matheson
Industrial PCs March 21, 2020

Method for easier scaling of quantum computing devices developed

An MIT research team has developed a method to “recruit” neighboring quantum bits that may help researchers scale up quantum computing devices.

By Rob Matheson
AI and Machine Learning March 15, 2020

Doing machine learning the right way

MIT Professor Aleksander Madry strives to build machine-learning models that are more reliable, understandable and robust.

By Rob Matheson
System Integration March 6, 2020

Breadboards integrated onto physical products

MIT researchers have invented a way to integrate “breadboards” — flat platforms used for electronics prototyping to quickly test circuit functions and user interactions with products such as smart devices and flexible electronics.

By Rob Matheson
Safety Standards February 20, 2020

Cryptographic ID tag developed to stop supply chain counterfeiting

MIT researchers have invented a cryptographic ID tag that’s small enough to fit on virtually any product and verify its authenticity, which could help stop supply chain counterfeiting.

By Rob Matheson
Robotics February 16, 2020

Soft robotic arm uses flexible sensors to understand its position

MIT researchers have developed flexible sensors and an artificial intelligence model that tell deformable robots how their bodies are positioned in a 3D environment.

By Rob Matheson
Industrial PCs January 16, 2020

Machine-learning tool predicts code’s speed on computer chips

MIT researchers have invented a machine-learning tool called Ithemal, which predicts how fast computer chips will execute code from various applications.  

By Rob Matheson
AI and Machine Learning December 5, 2019

Helping machines perceive some laws of physics

MIT researchers have designed a model that demonstrates an understanding of some basic “intuitive physics” about how objects should behave, which could improve artificial intelligence.

By Rob Matheson
Robotics November 23, 2019

Design and control robots with stretchy, flexible bodies

MIT researchers have found a way top optimize soft robots to perform specific tasks with a new model that make their bodies flexible.

By Rob Matheson
AI and Machine Learning November 14, 2019

Model developed to help autonomous vehicles navigate traffic safely

MIT and Toyota researchers have designed a model designed to help autonomous vehicles determine when it’s safe to merge into traffic when the view is obstructed.

By Rob Matheson
Robotics October 23, 2019

Robots learn the fundamentals of object manipulation and pushing

Researchers at MIT have developed a system where robots “learn” from a dataset called Omnipush that captures how pushed objects move to improve their physical interactions with new objects.

By Rob Matheson
Industrial Networking October 6, 2019

Location-aware system helps smart devices find their position

A system developed by MIT researchers helps networks of smart devices cooperate to find their positions in noisy environments where GPS usually fails, which could be helpful in supply chain monitoring, autonomous navigation and more.

By Rob Matheson
Industrial PCs September 26, 2019

Diamond-based quantum sensor fabricated on a silicon chip

MIT researchers have fabricated a diamond-based quantum sensor on a silicon chip. The advance, called a nitrogen-vacancy (NV) center, could pave the way toward low-cost, scalable hardware for quantum computing, sensing, and communication.

By Rob Matheson
Industrial PCs August 30, 2019

Advanced microprocessor built out of carbon nanotubes

MIT researchers have developed an approach that harnesses the same fabrication processes used for silicon chips, offers key advance toward next-generation computers.

By Rob Matheson
Process Instrumentation and Sensors August 22, 2019

Battery-free sensor developed for underwater exploration

A submerged system developed by MIT researchers uses the vibration of piezoelectric materials to generate power and send and receive data.

By Rob Matheson
Robotics July 18, 2019

Automated system generates robotic actuators

MIT researchers have developed an automated system that designs and 3-D prints robotic actuators, which are optimized and automatically created, which is almost impossible for a human to do.

By Rob Matheson
AI and Machine Learning June 28, 2019

Drag-and-drop data analytics using machine learning

MIT researchers have developed a system that lets nonspecialists use machine-learning (ML) models to make predictions for medical research, sales, and more.

By Rob Matheson
Cybersecurity June 22, 2019

Automated cryptocode generator developed to secure web browsers

An MIT-developed cryptographic system, Fiat Cryptography, is helping better protect a user's data and better secure websites by automatically generating optimized cryptography code that’s usually written by hand.

By Rob Matheson
AI and Machine Learning June 12, 2019

Neural network chip developed to use light instead of electricity

MIT researchers have developed a photonic chip that uses light instead of electricity and is process massive neural networks more efficiently.

By Rob Matheson
Vision and Discrete Sensors May 30, 2019

Sensor glove developed to learn human grasp signatures for robotics, medical applications

MIT researchers have developed a scalable tactile glove (STAG) designed to help a neural network identify objects by touch, which could aid robotics and prosthetics design.

By Rob Matheson
AI and Machine Learning May 27, 2019

Bringing human-like reasoning to autonomous vehicles

MIT researchers have developed an autonomous control system that “learns” the steering patterns of human drivers as they navigate roads in a small area, using only data from video camera feeds and a simple GPS-like map. See video.

By Rob Matheson
AI and Machine Learning May 23, 2019

Agreement signed to develop AI accelerator for prototyping and research

The MIT-Air Force AI Accelerator, will conduct fundamental research directed at rapid deployment of artificial intelligence (AI) innovations in operations, data management, cybersecurity, and vehicle safety.

By Rob Matheson
Robotics April 23, 2019

Particle simulator developed to help robots better predict and grasp objects

MIT researchers have developed a learning-based particle simulator, could give industrial robots a more refined touch and help them make predictions about interacting with solid objects and liquids.

By Rob Matheson
Industrial PCs April 17, 2019

Data-compression technique developed for faster computer programs

A technique developed by MIT researchers frees up more memory used by computers and mobile devices, allowing them to run faster and perform more tasks simultaneously.

By Rob Matheson
Data Centers April 3, 2019

Researchers develop architecture to reduce data center energy and space constraints

MIT researchers have developer a flash-storage system designed to cut the energy and physical space required to store and manage data in data centers by half.

By Rob Matheson
Robotics March 29, 2019

Particle robots designed to work as a cluster

Researchers from MIT, Columbia University, and other research institutes have developed robots that connect in large groups to move around, transport objects, and complete other tasks.

By Rob Matheson
AI and Machine Learning March 22, 2019

Algorithm developed to improve machine-learning models

MIT researchers have developed an algorithm that designs optimized machine-learning models up to 200 times faster than traditional methods.

By Rob Matheson
Vision and Discrete Sensors February 16, 2019

Sensor developed to help autonomous vehicles steer through fog and dust

MIT researchers have developed an on-chip system that detects signals at sub-terahertz wavelengths, which could help steer driverless cars through fog and dust.

By Rob Matheson
A model by MIT and Microsoft researchers identifies instances where autonomous cars have “learned” from training examples that don’t match what’s actually happening on the road, which can be used to identify which learned actions could cause real-world errors. Courtesy: MIT News
AI and Machine Learning January 28, 2019

Model developed to identify artificial intelligence blind spots

Researchers at MIT and Microsoft have developed a model that identifies instances when autonomous systems have learned from examples that may cause dangerous errors in the real world.

By Rob Matheson
Robotics November 24, 2018

Drones designed to aid in search missions without GPS

MIT researchers have developed a system that allows drones to cooperatively explore terrain under thick forest canopies where GPS signals are unreliable, which could be useful in plant disaster and safety situations.

By Rob Matheson