Boston.com reporter Hilary Sargent writes that MIT researchers have developed a new device that could help guide the visually impaired. Sargent explains that a prototype system the researchers developed “is about the size of a binoculars case and is designed to be worn around someone’s neck.”
Washington Post reporter Joel Achenbach writes about the life and work of Prof. emeritus Marvin Minsky, who died on Sunday. Achebach writes that Minsky’s colleagues knew him “as a man who was strikingly clever in conversation, with an ability to anticipate what others are thinking -- and then conjure up an even more intriguing variation on those thoughts.”
In an article for The Boston Globe, Bryan Marquard writes about Prof. emeritus Marvin Minsky, co-founder of the former AI Lab (now CSAIL), a founding member of the Media Lab, and a pioneer in the field of AI, who passed away on Sunday.
Prof. emeritus Marvin Minsky, one of the founders of the field of artificial intelligence, died Sunday at age 88, reports Glenn Rifkin for The New York Times. Rifkin writes that Minsky “combined a scientist’s thirst for knowledge with a philosopher’s quest for truth as a pioneering explorer of artificial intelligence.”
In an article for The Washington Post about robots and humans, Wendell Wallach highlights Prof. David Mindell’s book “Our Robots, Ourselves.” “Mindell clearly demonstrates that the efforts of people and robots can be complementary and inextricably entangled, and can evolve together,” writes Wallach.
MIT researchers have created an algorithm that can identify what traits make an image memorable, reports Matt McFarland for The Washington Post. The algorithm could prove useful in developing educational tools as “textbooks and teaching aids could start to use visual aids that have been proven to stick in our heads,” McFarland explains.
In an article for The Washington Post about artificial intelligence, Joel Achenbach speaks with MIT researchers about the future of the field. Speaking about the current state of AI, Prof. Daniela Rus explains that “there are tasks that are very easy for humans — clearing your dinner table, loading the dishwasher, cleaning up your house — that are surprisingly difficult for machines.”
MIT researchers have developed an algorithm that can predict the memorability of images with human-like accuracy, reports Adrienne Lafrance for The Atlantic. The researchers explained that their work demonstrates that “predicting human cognitive abilities is within reach for the field of computer vision.”
Boston.com reporter Megan McGinnes writes that MIT researchers are developing software that can predict how well people will remember certain images. Users of the new software “can feed images into the database, which are then overlaid with a heat map to show regions of the photo viewers are most likely to remember.”
CSAIL researchers have developed an algorithm that can predict the memorability of an image with near-human accuracy, reports Curt Woodward for BetaBoston. Woodward explains that “the technology could be used to make learning materials more memorable and advertising pitches more effective.”
A new learning program developed by researchers from MIT, NYU and the University of Toronto imitates the way humans learn, according to EFE. The researchers aim to “reduce the difference in learning capability between humans and machines.”
Researchers from MIT, NYU and the University of Toronto have created a learning program that can grasp new concepts just like humans do, reports Will Dunham for Reuters. “Judges found the work produced by the computers to be virtually indistinguishable from that of human subjects,” explains Dunham.
A new advance in machine learning allows a computer program to recognize and draw handwritten characters based off a few examples, reports John Markoff for The New York Times. Markoff explains that the “improvements are noteworthy because so-called machine-vision systems are becoming commonplace in many aspects of life.”
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.”
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.”