Reuters Video visits MIT to learn more about how researchers have developed a new robot, dubbed Jackal, which can navigate pedestrian traffic. Graduate student Michael Everett explains that the robot was designed to operate, “just like people do, so [it] fits in with the flow of traffic.”
Fortune reporter David Morris writes that MIT researchers have tricked an artificial intelligence system into thinking that a photo of a machine gun was a helicopter. Morris explains that, “the research points towards potential vulnerabilities in the systems behind technology like self-driving cars, automated security screening systems, or facial-recognition tools.”
Abigail Beall of New Scientist writes that MIT researchers have developed an algorithm that can trick an AI system, highlighting potential weaknesses in new image-recognition technologies used in everything from self-driving cars to facial recognition systems. “If a driverless car failed to spot a pedestrian or a security camera misidentified a gun the consequences could be incredibly serious.”
Newsweek reporter Katherine Hignett writes that MIT and Harvard researchers have successfully manipulated individual atoms using lasers in one of the largest quantum computer simulations. Hignett writes that, “their technology could help make superfast quantum computers a working reality.”
Boston Globe reporter Alyssa Meyers writes that researchers from MIT and Harvard have demonstrated one of the largest quantum simulators that can trap individual atoms in laser beams. Prof. Vladan Vuletić explains that it is, “a major advance is to be able to align and arrange individual atoms so we can hold on to them and track them.”
CSAIL researchers have developed a system that detects objects and people hidden around blind corners, writes Anthony Cuthbertson for Newsweek. “We show that walls and other obstructions with edges can be exploited as naturally occurring ‘cameras’ that reveal the hidden scenes beyond them,” says lead author and MIT graduate Katherine Bouman.
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.
Rana el Kaliouby, co-founder of MIT spinoff Affectiva, speaks to Asma Khalid from WBUR’s Bostonomix about her company’s work making tech devices that are more emotionally intelligent. “We envision a world where our devices and our technologies are emotional-wear,” says el Kaliouby. “They can sense and respond to your emotions in real time in a way that makes the interaction more positive.”
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.”
Boston Globe reporter Andy Rosen writes that MIT and IBM have established a new AI research lab. “It’s amazing that we have a company that’s also interested in the fundamental research,” explains Anantha Chandrakasan, dean of the School of Engineering. “That’s very basic research that may not be in a product next year, but provides very important insights.”
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.”
New Scientist reporter Matt Reynolds writes that MIT researchers have developed a new system that can determine how much pain a patient is experiencing. “By examining tiny facial expressions and calibrating the system to each person, it provides a level of objectivity in an area where that’s normally hard to come by,” explains Reynolds.