Joel Achenbach reports for The Washington Post on the new program developed by researchers from MIT, NYU and the University of Toronto that can learn by example, a characteristic of human learning. Prof. Joshua Tenenbaum explains that the new system has made “a significant advance in capturing the way that people are thinking about these concepts.”
Bryanna Cappadona reports for Boston.com that Matt Damon will be MIT’s 2016 commencement speaker. “Damon joins a long list of notable MIT commencement speakers, including U.S. Chief Technology Officer Megan Smith in 2015, DuPont CEO Ellen Kullman in 2014, and Dropbox co-founder and CEO Drew Houston in 2013,” writes Cappadona.
BetaBoston reporter Elizabeth Preston writes that MIT graduate students are explaining complex aerospace engineering topics to a class of fifth grader students in Georgia. Teacher Alana Davis says of the MIT students that, “I don’t think they realize what a difference they’re making in these kids’ lives.”
Los Angeles Times reporter Amina Khan writes that researchers have developed a program that learns to recognize and draw handwritten characters based off a few examples. Prof. Joshua Tenenbaum explains that the system, “can learn a large class of visual concepts in ways that are hard to distinguish from human learners.”
Actor and Cambridge native Matt Damon will speak at MIT’s 2016 commencement, writes Steve Annear for The Boston Globe. In addition to his success in Hollywood, Annear writes that Damon “is one of the founders of Water.org, a non-profit dedicated to delivering access to clean drinking water in developing countries.”
Academy Award-winning actor, filmmaker and social activist Matt Damon will deliver the 2016 commencement address at MIT, reports the Associated Press.
Kelly Servick writes for Science about Prof. Rosalind Picard’s work developing wearable technology that monitors and manages a user’s stress levels. “It’s one thing to study all this,” says Picard. “It’s another to build it into a form that people can start changing their lives around.”
Hilary Brueck writes for Fortune that researchers from MIT, NYU and the University of Toronto have developed a new technique that allows machines to learn in a more human-like manner. The new technique “comes one step closer to getting machines to learn new things in a one-shot manner, more like humans do.”
Researchers have developed a learning program that can recognize handwritten characters after seeing only a few examples, reports Emily Chung for CBC News. The program “could lead to computers that are much better at speech recognition — especially recognizing uncommon words — or classifying objects and behaviour for businesses or the military.”
A new study from MIT’s Industrial Performance Center finds that while Massachusetts is successfully launching and growing new startups, the state has a shortage of “super-scale” companies, reports Hiawatha Bray for BetaBoston. Bray explains that the report “calls for public- and private-sector efforts to foster the development of bigger businesses in the Bay State.”
MIT researchers have developed an algorithm that can predict household income in urban areas based off of Google Street View images, writes Bourree Lam for The Atlantic. The algorithm "explains 77 percent of the variation in income at the block-group level,” explains graduate student Nikhil Naik.
A new report details the entrepreneurial impact of MIT’s alumni entrepreneurs, reports Hiawatha Bray for BetaBoston. “We’re seeing a more rapid rate of growth than we have ever seen before,” explains Prof. Edward Roberts, in the “growth in the formation and startup of new companies by MIT alumni.”
Prof. Jessika Trancik writes for The Christian Science Monitor that cutting greenhouse gas emissions can lower the cost of further cuts. Trancik explains that Paris climate talk pledges, “will support the development of cheaper low-carbon technologies, allowing industrialized nations to increase their commitments.”
Prof. Scott Aaronson speaks with New Scientist reporter Jacob Aron about Google’s D-Wave quantum computer. “This is certainly the most impressive demonstration so far of the D-Wave machine’s capabilities,” says Aaronson. “And yet, it remains totally unclear whether you can get to what I’d consider ‘true quantum speedup’ using D-Wave’s architecture.”
In this video, CBS Boston’s Bree Sison reports on MIT startup Affectiva, which is developing technology that can identify human emotions and could help with mental health. Rana el Kaliouby, Affectiva CSO and co-founder, explains that the technology could “tell you something is off, or flag it to a friend or doctor. Or maybe it could customize a digit experience to help you.”