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.”
Writing for The New York Times about educational technology, Prof. Cynthia Breazeal describes her research examining the importance of social cues in learning from technology. “If we want to use technology to help people learn, we have to provide information in the way the human mind evolved to receive it,” she explains.
MIT researchers have developed a system that allows drones to scan and read RFID tags, reports Amy Wallace for UPI. Rather than use the drones to carry RFID readers, researchers found a way to use “the drones to relay signals emitted by a standard RFID reader, allowing for the more effective locating of tags,” writes Wallace.
Noah Smith of Bloomberg writes that the foreign trade theory proposed by Prof. Cesar Hidalgo and his research team suggests that a country’s future growth is determined by how many different products it makes. This forecasting method is based on “the level of regulation or the amount of investment in education,” explains Smith.
In an attempt to curb the increase in Lyme disease on Nantucket, Prof. Kevin Esvelt has proposed using gene-editing technology to engineer mice that can combat the spread of the disease, reports Cristina Quinn for WGBH. The idea is to, “genetically engineer these mice so that they are immune to the bacteria that causes Lyme disease.”
An algorithm developed by Prof. Iyad Rahwan and graduate student Bjarke Felbo has been trained to detect sarcasm in tweets that use emojis, writes Josh Lowe for Newsweek. After reading over 1 billion tweets with emojis, the algorithm predicted, “which emoji would be associated with a given tweet based on its emotional tone,” explains Lowe.
Scientific American reporter Lindsay Brownell writes that MIT researchers have developed a technique to enlarge pathology samples. “Not only are expanded samples easier to see because they are larger and more transparent, fluorescent tags and other labels can also be added to track individual molecules of interest.”
USA Today reporter Sydney C. Greene highlights a new piece of wearable technology developed by MIT researchers that was designed to help prevent sexual assault. Greene explains that the researchers developed a “sticker that integrates with clothing to respond to signs of assault such as forced disrobing.”
The MIT Media Lab has awarded its first Disobedience Award to Dr. Mona Hanna-Attisha and Prof. Marc Edwards, for their work drawing attention to the water crisis in Flint, Michigan, reports Scott Malone for Reuters. "They saw…an actual harm that was occurring and they did what they needed to do to intervene," explains Joi Ito, director of the Media Lab.
Forbes reporter Kevin Murnane writes about how MIT researchers have used a computer vision system to examine how several American cities physically improved or deteriorated over time. Murnane writes that the study “provides important support for nuanced versions of traditional theories about why urban neighborhoods change over time.”
In this Wired video, Adam Savage visits Prof. Neil Gershenfeld for a tour of the Center for Bits and Atoms. Savage explains that researchers at the Center for Bits and Atoms are working on developing the future of manufacturing, and “it’s not additive or subtractive, it’s biological. They are developing machines that can make machines that can make machines.”
UPI reporter Amy Wallace writes that MIT researchers have applied a computer vision system to help quantify the physical improvement of American neighborhoods. The researchers found that “density of highly educated residents, proximity to central business districts and other attractive areas, and the initial safety score assigned by the computer system are strongly related to improvements.”