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Welcome to NYU's Computer Science Department, part of the world-famous Courant Institute of Mathematical Sciences. Our department has considerably expanded over the past few years, adding many outstanding faculty with diverse research interests. We are proud of our strong research and educational connections to other departments and schools at NYU, including the departments of Mathematics, Chemistry, Physics, and Biology; the Center for Neural Science; the Stern School of Business; the Tisch School of the Arts; the Wagner School of Public Service; and the NYU School of Medicine.
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Everyone is talking about hackNY
NYC technology community leaders, Nate Westheimer (NYTech organizer), David Lerner (Columbia University Tech Ventures), and Charlie O'Donnell (First Round Capital, nextNY) cite Professor Korth's hackNY initiative as an important reason NYC's startup ecosystem is thriving and rising. Link 1 -- Link 2 -- Link 3
Professor Shasha Publishes On Natural Computing
Professor Dennis Shasha and coauthor Cathy Lazere have published a new book on Natural Computing, featuring profiles of 16 scientists who are pushing computer science beyond traditional boundaries Link. Professor Shasha also discussed the future of biologically-based computing in this article in the Guardian.
Yann LeCun Aids Development of Music Software Improvox
Concert pianist Robert Taub has found a new inspiration, and a great partner in Yann LeCun: together they're realizing the musician's dream of creating software that can read and transcribe music, correct notes, and more. Link
Fighting for Number Two: Why Aren't New York Start-Ups Recruiting in Boston?
Professor Korth goes to bat for New York City's technical talent pool in this article comparing the startup environments of New York and Boston. Link
NYU-Poly Receives Major Grant to Educate Future Cyber Security Engineers
The National Science Foundation has given a $2.85 million grant to NYU-Poly to launch "an innovative graduate education program to educate scientists and engineers to address the increasingly complex issues surrounding information security and privacy." The program will enlist faculty from across NYU departments, including the Courant Institute, and includes funding for graduate students. The full release is available from NYU Today. Link
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 With Ph.D. student Eugene Weinstein and Google researcher Pedro Moreno, Mehryar Mohri is working on audio fingerprinting techniques that enable computers to recognize songs. This work represents songs in terms of "music phonemes", elementary units of music sound that are learned from data, and uses weighted finite-state transducers to construct a compact and efficient index of a large database of songs. The image depicts an example of such a transducer. As a result, songs can be recognized quickly and accurately when only a recording of a short "audio snippet" is available and even when the recording is distorted. The group has created a working system with a database of 15,000 songs. Moreover, it has proven new bounds on the size of the indexing finite automata used that guarantee the compactness of this representation as the number of songs indexed increases and suggests that their techniques scale to much larger song data sets.
The NYU Movement Group (http://movement.nyu.edu), under the direction of Chris Bregler, conducts research on human motion analysis and synthesis. The group was recently awarded $1,472,000 from the Office of Naval Research for a 3-year project to study human motion styles. This new project, called GreenDot, investigates vision and machine learning techniques in order to detect human body language in video footage. The goal of the project is to train a computer to recognize a person based on his or her motions, and to identify the person's
emotional state, cultural background, and other attributes. The project's current focus is analyzing the body language of national and international public figures.
Programming language technologies help reduce software complexity. But they also are hard to realize, since compilers are complex systems themselves. To simplify compiler construction, Robert Grimm's xtc project explores how to make languages and their compilers more easily extensible, focusing on source-to-source transformers that translate extended languages to more basic versions. The resulting toolkit is used to implement the Jeannie language, which extends both Java and C by nesting Java and C code within each other at the level of individual statements and expressions. Jeannie eliminates verbose boiler-plate code, enables static error detection across the language boundary, and simplifies dynamic resource management. This research is joint work between Robert Grimm's group, Martin Hirzel at IBM Research, and Kathryn McKinley's group at UT Austin.
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