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MIT researchers have developed a new system that can spot moving objects hidden from view by corners, reports Douglas Heaven for New Scientist. “A lot of our work involves finding hidden signals you wouldn’t think would be there,” explains lead author and MIT graduate Katie Bouman.
Wired reporter Matt Simon writes that MIT researchers have developed a new system that analyzes the light at the edges of walls to see around corners. Simon notes that the technology could be used to improve self-driving cars, autonomous wheelchairs, health care robots and more.
Prof. Daniela Rus talks to Gareth Mitchell of BBC’s Click about how she and her colleagues have developed shape-shifting robots that can change their exoskeletons to perform different tasks. “These types of robots could become superheroes for the robot kingdom,” explains Rus. “A robot could amplify all of its capabilities by taking on these different types of clothes.”
CSAIL researchers have developed a virtual reality system that allows operators to control robots remotely, reports Anthony Cuthbertson for Newsweek. The system, “uses off-the-shelf gaming and VR technology to place users in a virtual cockpit, making it more flexible and user-friendly compared to previous systems.”
CSAIL researchers have developed a new shape-shifting robot that can change outfits in order to perform different tasks, reports Timothy Revell for New Scientist. “In the future, we imagine robots like this could become mini surgeons, squished into a pill that you swallow,” explains Prof. Daniela Rus.
Prof. Regina Barzilay, a breast cancer survivor, participated in a Washington Post Live discussion about “her own experience with the disease and how she uses data and machine learning to advance detection and treatment.”
IBM is joining forces with MIT to establish a new lab dedicated to fundamental AI research, reports the AP. The new lab will focus on, “advancing the hardware, software and algorithms used for artificial intelligence. It also will tackle some of the economic and ethical implications of intelligent machines and look at its commercial application.”
IBM has invested $240 million to develop a new AI research lab with MIT, reports Jing Cao for Bloomberg News. “The MIT-IBM Watson AI Lab will fund projects in four broad areas, including creating better hardware to handle complex computations and figuring out applications of AI in specific industries,” Cao explains.
CNBC reporter Jordan Novet writes that MIT and IBM have established a new lab to pursue fundamental AI research. Novet notes that MIT, “was home to one of the first AI labs and continues to be well regarded as a place to do work in the sector.”
Writing for Fortune, Barb Darrow highlights how IBM has committed $240 million to establish a new joint AI lab with MIT. Darrow explains that, “the resulting MIT–IBM Watson AI Lab will focus on a handful of key AI areas including the development of new 'deep learning' algorithms.”
In an article for HuffPost highlighting new developments in AI research, Jovan Kurbalija and Sorina Teleanu feature how MIT researchers, “are one step closer to finding a way to determine why an AI system makes one decision over another.”
Prof. Mohammad Alizadeh and his colleagues "have developed a way to approach network monitoring that provides flexibility in data collection while still keeping both the circuit complexity of the router and the number of external servers low," writes Amy Wallace for UPI.
Two new papers from CSAIL researchers “aim to help doctors make better use of the digital information they’re presented with,” writes Adi Gaskell for The Huffington Post. One examines a tool that uses ICU data to choose the best treatment option based on a range of symptoms, while the other facilitates “predictive models based upon an electronic health record system.”
CSAIL researchers have developed an artificial intelligence system that can reduce video buffering, writes Kevin Murnane for Forbes. The system, “adapts on the fly to current network and buffers conditions,” enabling smoother streaming than other methods.
During this NECN segment, Boston Business Journal reporter Kelly O’Brien discusses the new wireless sleep detection device developed by CSAIL researchers. The algorithm developed by the research team can translate radio waves emitted by the device “into usable information about where a person is in their sleep cycle,” explains O’Brien.