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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.”
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.”
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.”
Emma Woollacott reports for Forbes on Vuvuzela, a text-messaging system that MIT researchers developed to encrypt the metadata and content of messages. “Vuvuzela uses multiple servers instead of one, to give each message multiple layers of encryption,” writes Woollacott.
Writing for The Boston Globe, Nancy Shohet West highlights Prof. Erik Demaine and Martin Demaine’s paper sculptures, which are on display at the Concord Center for the Visual Arts. “We started getting interested a number of years ago in curve creases and what was possible mathematically,” explains Prof. Demaine. “We started making models and then turned those into sculpture.”
Emily Reynolds reports for Wired that NASA has awarded an R5 “Valkyrie” humanoid robot to a team led by Prof. Russ Tedrake. Reynolds explains that the team “will develop algorithms to make the robot more dexterous” so that they could potentially take the place of humans during extreme space missions.
A team led by Prof. Russ Tedrake has been awarded one of NASA’s R5 “Valkyrie” robots to develop software that could allow humanoid machines to assist astronauts in space, reports Rachel Feltman for The Washington Post. Feltman writes that Tedrake’s team was awarded the robot based on its strong performance in the DARPA Robotics Challenge.
NASA has awarded two humanoid robots to research groups at MIT and Northeastern, reports Brian Mastroianni for CBS News. The robots “are seen as potential tools to aid astronauts in future Mars expeditions,” writes Mastroianni. “They could potentially assist or even replace humans in extreme environments.”
Olga Khvan reports for Boston Magazine that a team from MIT has been awarded a humanoid robot for research and development. “The R5—nicknamed Valkyrie—is a humanoid robot designed to assist during human missions to Mars by completing disaster-relief maneuvers,” writes Khvan.