Wired reporter Will Knight spotlights how MIT researchers have showed that “an AI program trained to verify that code will run safely can be deceived by making a few careful changes, like substituting certain variables, to create a harmful program.”
In an article for New Scientist, Vijaysree Venkatraman reviews a new book by Kate Darling of the Media Lab, which explores whether we should think of robots as more like animals than humans. “Unlike animals, robots are designed, peddled and controlled by people, Darling reminds us. Her timely book urges us to focus on the legal, ethical and social issues regarding consumer robotics to make sure the robotic future works well for all of us,” writes Venkatraman.
Graduate student Joy Buolamwini joins Kara Swisher on The New York Times' “Sway” podcast to discuss her crusade against bias in facial recognition technologies. “If you have a face, you have a place in this conversation,” says Buolamwini.
USA Today reporter Barbara VanDenburgh spotlights Media Lab research specialist Kate Darling’s new book, “The New Breed: What Our History with Animals Reveals about Our Future with Robots.” VanDenburgh writes that in the book, “An MIT Media Lab researcher and technology policy expert argues that treating robots more like we treat animals, with a bit of humanity, will serve mankind well.”
CSAIL researchers have developed a new material with embedded sensors that can track a person’s movement, reports Mashable. The clothing could “track things like posture or give feedback on how you’re walking.”
Fast Company reporter Elizabeth Segran spotlights how CSAIL researchers have crafted a new smart fabric embedded with sensors that can sense pressure from the person wearing it. “Sensors in this new material can be used to gather data about people’s posture and body movements,” writes Segran. “This could be useful in a variety of settings, including athletic training, monitoring the health of elderly patients, and identifying whether someone has fallen over.”
Boston Globe reporter Andy Rosen writes that the Broad Institute of MIT and Harvard has launched “a new, $300 million initiative that applies advanced computer science to some of the hardest problems in medicine — an endeavor it said could uncover new ways to fight cancer, infectious disease, and other illnesses.”
Gizmodo reporter Victoria Song spotlights how CSAIL researchers have developed a new type of smart material that can measure movement. “The researchers have created a special type of fiber that can tell how a person is moving by sensing pressure and turning that pressure into electrical signals,” Song explains.
New York Times contributor Vivian Gornick reviews “The Empathy Diaries,” a new memoir by Prof. Sherry Turkle in which “she seeks to tell the story of her own formative years and how she became the distinguished social theorist that she is today.”
Forbes contributor Roslyn Layton spotlights a new paper by CSAIL researchers that explores the market for domain names. “The authors observe that the intellectual property associated with domain names and the value of DNS itself as embedded, reliable infrastructure,” writes Layton. “However, changing behavior is reducing the value and function of DNS by separating names from addresses.”
Graduate student Crystal Lee speaks with Slate reporter Rebecca Onion about a new study that illustrates how social media users have used data visualizations to argue against public health measures during the Covid-19 pandemic. “The biggest point of diversion is the focus on different metrics—on deaths, rather than cases,” says Lee. “They focus on a very small slice of the data. And even then, they contest metrics in ways I think are fundamentally misleading.”
Research scientist Andreas Mershin speaks with Noam Hassenfeld of Vox about his work developing a new AI system that could be used to detect disease using smell.
MIT scientists have demonstrated a plastic polymer cable that can transmit data 10 times as fast as USB, reports Payal Dhar for IEEE Spectrum. “For newer standards aiming at much higher data rates, we see the cables getting much thicker, more expensive, and commonly short [because of] technical challenges,” says Prof. Ruonan Han. “We hope this research could [enable] much higher speed for our needs.”
A new AI-powered system developed by researchers from MIT and other institutions can detect prostate cancer in urine samples as accurately as dogs can, reports Tanya Lewis and Prachi Patel for Scientific American. “We found we could repeat the training you use for dogs on the machines until we can’t tell the difference between the two,” says research scientist Andreas Mershin.
TechCrunch reporter Brian Heater are developing a new prototype for a robot that can transform from soft to hard. “Combining the two fields could go a ways toward building safer collaborative robots for interacting with human workers,” writes Heater.