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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.”
Speaking with Mark Jannot of The New York Times Magazine, Prof. Regina Barzilay explores how A.I. could be used to predict risk of certain diseases. “Imagine how it can change the game if these diseases, which are now diagnosed late, when they are largely uncurable, could be detected early — how many lives can be saved,” says Barzilay.
This Quartz video highlights how MIT researchers are developing a self-driving boat system that can navigate waterways and can transform into different structures to move cargo, trash or build a temporary bridge. “The boats find the best path between preprogrammed locations, while using GPS, laser sensors, and cameras to avoid hitting anything,” explains Michael Tabb.
MIT researchers examined why a third of Wikipedia deliberations go unresolved and developed a new tool that could be used to help resolve more discussions, reports Samantha Cole for Motherboard. Cole explains that “the tool uses the data they found and analyzed in this research, to summarize threads and predict when they’re at risk of going stale.”
Smithsonian reporter Randy Rieland writes that MIT researchers have developed a machine learning model that can detect speech and language patterns associated with depression. The researchers note that the system is intended to assist, not replace clinicians. “We’re hopeful we can provide a complementary form of analysis,” explains Senior Research Scientist James Glass.
The life and legacy of Prof. Michael Dertouzos, who was “renowned for making complicated technology accessible to the general public,” is celebrated in a new Google doodle, reports Helen Rogers for CNN. Rogers notes that Dertouzos “predicted how the internet and the rise of personal computers would impact people's lives.”
Boston Herald reporter Jordan Graham writes that MIT researchers have developed an autonomous system that allows fleets of drones to navigate without GPS and could be used to help find missing hikers. “What we’re trying to do is automate the search part of the search-and-rescue problem with a fleet of drones,” explains graduate student Yulun Tian.
Speaking with Reuters reporters Guy Faulconbridge and Paul Sandle, Prof. Tim Berners-Lee calls for disrupting the power held by giant companies over how the internet is operated. “What naturally happens is you end up with one company dominating the field so through history there is no alternative to really coming in and breaking things up,” Berners-Lee explains. “There is a danger of concentration.”
MIT researchers have developed a language translation model that operates without human annotations and guidance, reports Liangyu for Xinhua news agency. The system, which may enable computer-based translations of the thousands of languages spoken worldwide, is “a step toward one of the major goals of machine translation, which is fully unsupervised word alignment,” Liangyu explains.
Fortune reporter Aaron Pressman highlights how Prof. Julie Shah is working on making human-robot collaboration on the assembly line more effective through the use of collaborative robots, dubbed cobots. Pressman writes that Shah “is working on software algorithms developed with machine learning that will teach cobots how and when to communicate by reading signals from the humans around them.”
Popular Science reporter Rob Verger highlights how an MIT spinout and MIT researchers are developing tools to detect depression. “The big vision is that you have a system that can digest organic, natural conversations, and interactions, and be able to make some conclusion about a person’s well-being,” says grad student Tuka Alhanai.
Financial Times reporter Jemima Kelly reports that MIT researchers have developed a low-power chip that is hardwired to perform public-key encryption. Kelly writes that the chip is “potentially a game-changer for simple, low-powered products such as smart sensors used by industry to gauge things such as temperature and pressure, as well as health monitors.”
Taylor Pettaway of the Boston Herald writes that MIT’s new college of computing will be one of the university’s largest structural changes made since 1950. Offering classes in different fields, “students will be able to experience on campus new computational tools and these new abilities transform academics on campus with every study,” says Provost Martin Schmidt.