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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.”
Forbes reporter Fiona McMillan writes that MIT researchers have engineered an anti-bacterial peptide found in wasp venom in an effort to create a new antibiotic. McMillan writes that the researchers, “gained new insight into which structural attributes work best, either alone or in combination. In this way, they were able to tweak the peptide’s structure to obtain optimal function.”
MIT researchers have repurposed the toxic venom found in wasps to create a new drug that could potentially be used to kill bacteria, reports the Xinhua news agency. “The venom-derived peptide is believed to kill microbes by disrupting bacterial cell membranes,” Xinhua explains.
Boston Herald reporter Jordan Graham writes that MIT researchers have used the venom from a South American wasp to engineer a new type of antibiotic. “The idea here is to take that very well-crafted toxin and turn it into something that can be useful for humans and our society,” explains César de la Fuente Nunez, a postdoc at MIT.
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.”
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.
MIT researchers have developed a new system to detect contaminated food by scanning a product’s RFID tags, reports Devin Coldewey for TechCrunch. The system can “tell the difference between pure and melamine-contaminated baby formula, and between various adulterations of pure ethyl alcohol,” Coldewey explains.
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.
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.