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New York Times reporter Janet Morrissey spotlights Prof. Regina Barzilay and Prof. Dina Katabi’s work developing new AI systems aimed at improving health care. “It’s absolutely the future; it’s even the present,” says Barzilay. “The question is how fast do we adopt it?”
Wall Street Journal reporter Alicia Wallace spotlights MIT’s AI executive education course, which “aims to make a technologically complicated topic accessible by the pacing of the course and by providing examples of practical applications.”
Wired reporter Emma Bryce highlights Prof. Dina Katabi’s work developing a wireless system that can help track a person’s health and could be used to monitor Alzheimer’s and Parkinson’s patients. Katabi explains that the system “can be used to detect and understand higher level information, not just monitoring the signs and the measurements, but really being able to understand the meaning of those measurements.”
Prof. Tim Berners-Lee speaks with Wired reporter K.G. Orphanides about his startup Inrupt, which is aimed at transforming how we share personal data on the web. Orphanides explains that Berners-Lee’s idea is that, “instead of a company storing all your personal data on their servers, you would keep it on your own personal data ‘pod.’”
Reporting for Scientific American’s “60-Second Science” podcast, Christopher Intagliata explores how MIT developed a device, called a rectenna, that can capture energy from Wi-Fi signals and convert them into electricity. The scientists “envision a smart city where buildings, bridges and highways are studded with tiny sensors to monitor their structural health, each sensor with its own rectenna,” Intagliata explains.
TIME reporter Jamie Ducharme highlights how Prof. Dina Katabi has developed a device that uses wireless signals to collect information about how well a person is sleeping. “If we can monitor health continuously but passively in a patient’s natural environment, that can help dramatically,” explains Katabi.
New York Times reporter Steve Lohr writes about the MIT AI Policy Conference, which examined how society, industry and governments should manage the policy questions surrounding the evolution of AI technologies. “If you want people to trust this stuff, government has to play a role,” says CSAIL principal research scientist Daniel Weitzner.
TechCrunch reporter John Biggs writes that MIT researchers have developed a new system that allows users to reverse-engineer complex items by deconstructing objects and turning them into 3-D models. Biggs writes that the system is a “surprisingly cool way to begin hacking hardware in order to understand it’s shape, volume and stability.”
In a piece about the growing field of origami, The Economist highlights Prof. Erik Demaine’s work proving that “any straight-sided figure—an octagon, a cityscape silhouette or a blocky Bart Simpson—can be extracted with exactly one straight cut if you fold the paper up the right way first.”
Boston Globe reporter Jessie Scanlon spotlights Prof. Regina Barzilay’s work developing machine learning systems that can identify patients at risk of developing breast cancer. Barzilay is creating “software that aims to teach a computer to analyze mammogram images more effectively than the human eye can and to catch signs of cancer in its earliest phases.”
Graduate student Irene Chen speaks with WGBH’s Living Lab Radio about her work trying to reduce bias in health care algorithms. “The results that we’ve shown from healthcare algorithms are so powerful that we really do need to see how we could implement those carefully, safely, robustly and fairly,” she explains.
Prof. Aleksander Madry and graduate student Anish Athalye speak with BBC News reporter Linda Geddes about how AI systems can be tricked into seeing or hearing things that aren’t actually there. “People are looking at it as a potential security issue as these systems are increasingly being deployed in the real world,” Athalye explains.
CSAIL researchers have developed a new technique to recreate paintings from a single photograph, reports John Biggs for TechCrunch. “The project uses machine learning to recreate the exact colors of each painting and then prints it using a high-end 3D printer that can output thousands of colors using half-toning,” Biggs explains.
Forbes contributed Jennifer Kite-Powell writes about a system, called RePaint, developed by MIT researchers that uses AI and 3-D printing to replicate paintings. "We can picture RePaint being applied to restoration practice and education in museums so that greater numbers of people could be exposed to famous pieces of art beyond just the specific museums that house them," explains CSAIL mechanical engineer Mike Foshey.
Fast Company reporter Jesus Diaz writes that CSAIL researchers have developed a new technique to replicate works of art. Diaz explains that the system “uses a combination of 10 different transparent inks, placed by a 3D printer and governed by a complex AI system that decides how to layer and mix those inks to match a painting’s original colors.”