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Electrical engineering and computer science (EECS)

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Boston Globe

Boston Globe reporter Martin Finucane writes that MIT researchers have developed an automated latching system that could enable a fleet of autonomous boats to connect to docking stations and other boats. Finucane explains that in turbulent water, “after a missed first attempt, the system can autonomously adapt, repositioning the roboat and latching.”

Mashable

Mashable highlights how MIT researchers have developed a new system of computationally simple robots inspired by biological cells that can connect in large groups to move around, transport objects and complete tasks. Mashable explains that robots made up of simplistic components, “could enable more scalable, flexible and robust systems.”

PBS NOVA

MIT researchers have developed a low-cost electronic glove equipped with sensors that can use tactical information to identify objects, reports Katherine Wu for NOVA Next. Wu writes that the glove is “easy and economical to manufacture, carrying a wallet-friendly price tag of only $10 per glove, and could someday inform the design of prosthetics, surgical tools, and more.”

Mashable

In this video, Mashable highlights how CSAIL researchers have developed a new system that can help lift heavy objects by mirroring human activity. The system uses sensors that monitor muscle activity and detect changes in the user’s arm.

Popular Science

Popular Science reporter Rob Verger writes that MIT researchers have developed a new mechanical system that can help humans lift heavy objects. “Overall the system aims to make it easier for people and robots to work together as a team on physical tasks,” explains graduate student Joseph DelPreto.

Fast Company

Fast Company reporter Michael Grothaus writes that CSAIL researchers have developed a deep learning model that could predict whether a woman might develop breast cancer. The system “could accurately predict about 31% of all cancer patients in a high-risk category,” Grothaus explains, which is “significantly better than traditional ways of predicting breast cancer risks.”

WCVB

WCVB-TV’s Jennifer Eagan reports that researchers from MIT and MGH have developed a deep learning model that can predict a patient’s risk of developing breast cancer in the future from a mammogram image. Prof. Regina Barzilay explains that the model “can look at lots of pixels and variations of the pixels and capture very subtle patterns.”

Scientific American

Scientific American reporter Jeremy Hsu highlights how CSAIL researchers have developed a robot that can automatically sort recycling. The robot “uses soft Teflon ‘fingers,’ which have fingertip sensors to detect object size and stiffness,” Hsu explains.

Popular Mechanics

MIT researchers have identified a new method to engineer neural networks in a way that allows them to be a tenth of the size of current networks without losing any computational ability, reports Avery Thompson for Popular Mechanics. “The breakthrough could allow other researchers to build AI that are smaller, faster, and just as smart as those that exist today,” Thompson explains.

HealthDay News

HealthDay News reporter Amy Norton writes that MIT researchers have developed an AI system that can help predict a woman’s risk of developing breast cancer and provide more personalized care. “If you know a woman is at high risk, maybe she can be screened more frequently, or be screened using MRI,” explains graduate student Adam Yala.

The Washington Post

Writing for The Washington Post, postdoctoral associate Gregory Falco argues that the computer systems operating satellites are vulnerable to cyberattacks. “Computer systems running our satellites haven’t kept up, making them prime targets for an attack,” warns Falco. “This makes our space assets a massive vulnerability — and it could get much worse if we’re not careful.”

MIT Technology Review

Technology Review reporter Will Knight spotlights how MIT researchers have developed a new chip that is many times more efficient than silicon chips and could help bring AI to a multitude of devices where power is limited. “We need new hardware because Moore’s law has slowed down,” explains Prof. Vivienne Sze.

Xinhuanet

MIT researchers have developed tiny robots powered by magnetic fields that can be used to bring drugs nanoparticles from the bloodstream into a tumor or disease site in the human body, reports the Xinhua news agency.

Reuters

In this video, Reuters explores how MIT researchers have developed a robot that can automatically sort recycling. The robot uses a pressure sensor to squeeze items to determine how they should be sorted.

BBC News

BBC Click spotlights how CSAIL researchers have developed a robot that can automatically sort recycling. “Many paper and plastic cups look the same, but by introducing the ability to squeeze the object and to know whether it is flexible or not we are able to go one step beyond what today’s methods can do, explains Prof. Daniela Rus, director of CSAIL.