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.”
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.”
In an article for Optics.org, Matthew Peach writes that MIT researchers have developed a technique that exploits the polarization of light to improve the quality of 3-D imaging. The technique “could lead to high-quality 3-D cameras integrated into cellphones, and perhaps to the ability to photograph an object and then use a 3-D printer to produce a replica.”
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.
A team led by Prof. Russ Tedrake has been awarded a humanoid robot from NASA to develop software for future space missions, reports Hiawatha Bray for BetaBoston. NASA is “interested in modifications that would let the machines assist human astronauts during long-duration space missions,” writes Bray.
MIT researchers have developed an algorithm that detects tax evasion, writes Lynnley Browning for The New York Times. “The goal is to give the I.R.S. a better way to investigate sophisticated tax shelters that strip tens of billions of dollars from federal coffers each year,” writes Browning.
Kyle Clauss reports for Boston Magazine on an algorithm, created by MIT researchers, which can detect efforts by corporations to evade taxes. “The findings are a promising development in the ongoing struggle against tax evasion of the most sophisticated sort,” writes Clauss.
In this video, the BBC’s LJ Rich reports on the 3-D printed, soft robotic hand developed by researchers at the MIT Computer Science and Artificial Intelligence Lab. Rich explains that the robotic hand can “handle objects as delicate as an egg and as thin as a compact disk.”