David Sontag is leading a research group including collaborators from NYU/NYU Langone as well as Independence Blue Cross to apply machine learning techniques to IBC's medical and pharmacy claims data to detect patients at risk for undiagnosed diabetes or pre-diabetes. The full article is available from the Wall Street Journal.

Edith Windsor (MS in Math, 1957) "who has bravely waged the fight against the Defense of Marriage Act" will receive the NYU Presidential Medal at this year's commencement ceremony. The full press release is available from NYU News.

The Alfred P. Sloan Foundation has awarded funding for the NYU Courant Girls Science, Technology, Engineering, and Mathematics Summer Program (G-Stem). With Matthew Leingang as Principal investigator, G-Stem will recruit its first cohort to attend the six week Summer 2013 program, which will provide high school girls who have high aptitude in STEM subjects the opportunity to receive mentoring from STEM professionals, as well as participate in activities such as classes, lectures, and field trips.

The Entrupy system, developed by Lakshmi Subramanian and Ashlesh Sharma, for labelling works of art against counterfeiting, is featured in Forbes magazine as one of "Four Disruptive Technologies to Watch in 2013".

Recent articles and radio interviews on Deep Learning, featuring/citing Yann LeCun, appear from NPR, the New York Times, and the New Yorker.

A research team headed by Chris Bregler followed olympic athletes during their training in pools across the U.S. this spring, and developed ground-breaking techniques to capture their movement above and below the water's surface. The full article is available from NYU Today.

Yann LeCun and collaborators at five universities teach self-piloted drones to improvise when encountering unexpected obstacles, as featured in Popular Science.

As reported in the New York Times, A team of scientists at Google, including Marc'Aurelio Ranzato (Ph.D. NYU Computer Science, 2009), implemented a distributed neural network with 1 billion connection over a network with 16,000 processors (1000 machines). Applying "deep learning" to a dataset of 10,000,000 unlabelled images, the network achieved an accuracy of 15.8% in identifying 20,000 different categories, an improvement of 70% over the state of the art. The article also quotes Yann LeCun on the application of deep learning techniques to speech recognition.

Chris Bregler's Motion Capture Lab has been working with Alan Gilbert, the music director of the New York Philharmonic, in applying motion capture technique to the gestures and motions of an orchestral conductor. The full story is available from the New York Times. Link.

Researchers in Applied Math Lab used pyramid-shaped paper "bugs" to determine that in flight, top-heavy structures are more likely to maintain balance than the standard structure that bears a lower center of gravity. The results of the NSF and DOE-funded study may contribute to an alternative approach to aircraft design. The full Press Release is available from NYU Today.