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-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.
Boston Globe reporter Bryan Marquard memorializes Prof. Emeritus David Gordon Wilson, known for his work in the field of mechanical engineering and for spurring interest in recumbent bicycles. Marquard notes that in addition to designing a recumbent bicycle that set a world speed record, Wilson was “decades ahead of some modern-day political proposals that aim to address climate change.”
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.”
WCVB-TV’s Mike Wankum visits the Edgerton Center to learn more about the MIT Motorsports team, a group of students engineering an electric Formula SAE car. “We are here because we love it,” explains team captain and undergraduate Serena Grown-Haeberli. “Getting to see it drive, getting to see it race, sort of caps it off.”
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 found that mechanical training could be used to produce synthetic hydrogels that perform more like human muscles, reports Sam Spiller for Popular Mechanics. “Stretched and treated to a mechanical workout in a water bath, the [hydrogels] became unyielding and resistant to molecular ruptures,” writes Spiller. “They were able to stay structurally sound despite continuous repetitive movements.”
Prof. Dennis Whyte, director of MIT’s Plasma Science and Fusion Center, speaks with NBC Mach reporter Dan Falk about the possibilities of fusion power. “Fusion will have one of the smallest possible environmental footprints of any power source,” says Whyte. “It will be sustainable for the foreseeable future of mankind.”
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.
NESN Clubhouse visits the lab of Prof. Sangbae Kim to learn more about his work developing a robotic cheetah that can run at a speed of approximately 13 miles per hour, jump over obstacles, climb up stairs and execute tight turns. Kim explains that the cheetah could run from home plate to first base in about 15 seconds.
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.
Boston Globe reporter Martin Finucane writes about how TESS has discovered an Earth-sized planet orbiting a star 52 light years from Earth. “The new planet HD, 21749c, orbits the star HD 21749. It circles the star in 7.8 days,” Finucane explains. “The planet is probably rocky and uninhabitable, with temperatures on the surface of up to 800 degrees.”