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.”
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.
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.”
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.
In this video, CBS News correspondent Don Dahler speaks with Prof. Dina Katabi about her group’s work developing wireless technology that can track a person’s motion through walls. Katabi and her colleagues demonstrated how the system also detects a person’s elevation and could be used to help protect seniors at risk of falling.
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.”
In an article for New Scientist, Anna Nowogrodzki writes that MIT researchers have developed a device that allows users to answer the phone with a kick of their foot. “The system’s algorithm analyses the foot’s motion and transmits the information via Bluetooth to your phone,” writes Nowogrodzki.
Graduate student Daniel McDuff is developing a computer system that can read human emotions by monitoring facial movements, reports Jane Wakefield for BBC News. “It translates that into seven of the most commonly recognized emotional states - sadness, amusement, surprise, fear, joy, disgust and contempt,” McDuff explains.
In this video, BBC News reporter Stephen Beckett speaks with Prof. Dina Katabi about a new system her group developed that can track people through walls using wireless signals. “It’s using these very low-power signals, sending them, and observing the reflection of the body through the wall,” explains Prof. Dina Katabi.
Huffington Post reporter Nitya Rajan writes that MIT researchers have developed a device that can see through walls. Rajan explains that the device works by “sending wireless signals through a wall and capturing whatever bounces back off to put together an image of the person on the other side of the wall.”
Washington Post reporter Matt McFarland writes that MIT researchers have developed a device that tracks human movement through walls and could be used to monitor children or the elderly. “We want to provide peace of mind without intruding too much on lives or taking independence away,” explains Prof. Dina Katabi.
MIT researchers have developed a device that can trace the movement of a person’s silhouette through a wall using wireless signals, reports Robert Ferris for CNBC. The device can "distinguish up to 15 different individuals with 90 percent accuracy,” Ferris explains.
Hiawatha Bray writes for BetaBoston about Emerald, a new device created by MIT researchers that can track a person’s movements using wireless signals. “Our main interest is really elderly care,” explains Prof. Dina Katabi.
In honor of “Back to the Future II,” in which Marty McFly travels 30 years into the future, BBC reporter Jane O’Brien speaks with Media Lab Director Joi Ito about how technology might advance over the next 30 years. Ito says that his “dream invention is machine learning artificial intelligence that connects directly to my brain in some non-invasive way.”