School of Engineering

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.”

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.” 

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.

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. 

MIT researchers have developed a new bandage that can detect infection and automatically release medication, reports Jordan Graham for The Boston Herald. “We are trying to design long-term, high-efficiency interfaces between the body and electronics,” explains Prof. Xunahe Zhao.

NBC News reporter Maggie Fox writes that MIT researchers have developed a stretchy, wet bandage that can deliver medications. The device could “carry a thermometer to continuously measure skin temperature, or tiny devices to keep an eye on blood sugar levels for someone with diabetes.”

BBC News reporter Michelle Roberts writes that MIT researchers have fine-tuned the CRISPR-Cas9 genome editing system to make it safer and more accurate. This development is "vital if it [CRISPR] is to be used in humans to cure inherited diseases or inborn errors,” explains Roberts. 

MIT researchers have examined how droplets are formed in high-propulsion sneeze clouds, according to CBS Boston. “Droplets are not all already formed and neatly distributed in size at the exit of the mouth, as previously assumed in the literature,” explains Prof. Lydia Bourouiba.