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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 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.
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 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.
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.”
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.
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.
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 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.
TechCrunch reporter Brian Heater writes that MIT researchers have developed a robot that can recycle materials using sensors that allow it to differentiate between objects. Heater explains that “the system utilizes a Teflon gripper with built in sensors that are capable of determining an object’s makeup based on size and stiffness.”
Prof. Regina Barzilay speaks with NPR reporter Richard Harris about her work developing AI systems aimed at improving identification of breast cancer in mammograms, inspired by her experience with the disease. “At every point of my treatment, there would be some point of uncertainty, and I would say, 'Gosh, I wish we had the technology to solve it,’” says Barzilay.
Forbes contributor Charles Towers-Clark writes that CSAIL researchers have developed a new machine learning system that could be used to help develop better estimates about internet data. “In tests, the system was over 57% more accurate in estimating internet traffic and more than 71% for trending social media topics,” Towers-Clark explains.
Fast Company reporter Katherine Schwab spotlights Duality, an MIT startup that is using homomorphic encryption to analyze encrypted data without decrypting it. Schwab explains that the “company’s technology could provide an actual solution to the data privacy problem by allowing companies to keep their data fully encrypted and still find patterns in it.”
Inside Higher Ed reporter Lindsay McKenzie writes that MIT’s Ad Hoc Task Force on Open Access has released a draft set of recommendations aimed at increasing the open sharing of MIT publications, data, software, and educational materials.
The Financial Times has named Prof. Tim Berners-Lee its "Boldness in Business" Person of the Year for his work aimed at providing people with more control over how their personal data is used online, reports John Thornhill. “We know how to fire rockets into the sky. We should be able to build constructive social networks,” says Lee.