Source: Princeton University Office of Communications
Two Princeton University computer science professors will lead a new Google AI lab opening in January in the town of Princeton. The new lab is expected to expand New Jersey’s burgeoning innovation ecosystem by building a collaborative effort to advance research in artificial intelligence.
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The work in the lab will focus on a discipline within artificial intelligence known as machine learning, in which computers learn from existing information and develop the ability to draw conclusions and make decisions in new situations that were not in the original data. Examples include speech recognition systems that transcribe a wide spectrum of voices, and self-driving cars that process complex visual cues. In particular, the work will build on recent advances by Hazan, Singer and colleagues in optimization methods for machine learning to improve their speed and accuracy while reducing the required computing power.
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A primary focus of the group is developing efficient methods for faster training of learning machines,” said Hazan. One of the most popular methods to train deep neural networks, a powerful current approach to machine learning, is an algorithm called AdaGrad, co-developed by Hazan and Singer with their colleague Stanford University professor John Duchi. “The study of efficient mathematical optimization has deep roots in Princeton” said Hazan, “starting from the work of John von Neumann,” a visiting faculty member at the University before moving to the neighboring Institute for Advanced Study.
Gary Price (gprice@gmail.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area.
He earned his MLIS degree from Wayne State University in Detroit.
Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com.
