Rob Matheson

latest from Rob Matheson

Courtesy: Massachusetts Institute of Technology

AI and Machine Learning

Reducing AI’s carbon footprint

Courtesy: Christine Daniloff, MIT

Method for easier scaling of quantum computing devices developed

MIT computer scientist Aleksander Madry. Courtesy: Ian MacLellan, MIT

AI and Machine Learning

Doing machine learning the right way

Courtesy: Dishita Turakhia and Junyi Zhu, MIT

System Integration

Breadboards integrated onto physical products

Courtesy: Massachusetts Institute of Technology

Safety Standards

Cryptographic ID tag developed to stop supply chain counterfeiting

MIT researchers have created a “sensorized” skin, made with kirigami-inspired sensors, that gives soft robots greater awareness of the motion and position of their bodies. Courtesy: Ryan L. Truby, MIT CSAIL

Soft robotic arm uses flexible sensors to understand its position

Courtesy: Chris Vavra, CFE Media

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

An MIT-invented model demonstrates an understanding of some basic “intuitive physics” by registering “surprise” when objects in simulations move in unexpected ways, such as rolling behind a wall and not reappearing on the other side. Courtesy: Christine Daniloff, MIT

AI and Machine Learning

Helping machines perceive some laws of physics

Courtesy: CFE Media and Technology

Design and control robots with stretchy, flexible bodies

MIT and Toyota researchers have designed a new model that weighs various uncertainties and risks to help autonomous vehicles determine when it’s safe to merge into traffic at intersections with objects obstructing views, such as buildings blocking the line of sight. Courtesy: Massachusetts Institute of Technology

AI and Machine Learning

Model developed to help autonomous vehicles navigate traffic safely

A key to compiling the novel Omnipush dataset was building modular objects (pictured) that enabled the robotic system to capture a vast diversity of pushing behavior. The central pieces contain markers on their centers and points so a motion-detection system can detect their position within a millimeter. Courtesy: Massachusetts Institute of Technology (MIT)

Robots learn the fundamentals of object manipulation and pushing

A system designed by researchers at MIT and elsewhere enables interconnected smart devices to cooperatively pinpoint their positions in noisy environments where GPS usually fails, which is useful for emerging “localization-of-things” applications. Courtesy: Christine Daniloff, MIT

Industrial Networking

Location-aware system helps smart devices find their position