Two computer science professors at Princeton University will be the head of latest Google AI lab, which is starting in Princeton in 2019. The lab is likely to spread the growing innovation environment in New Jersey by developing partnership to advance artificial intelligence research.
The lab, located in 1 Palmer Square, will begin with recent graduates, few faculty members, software engineers, graduate and undergraduate student researchers. The lab is the result of close partnership between Professors Yoram Singer and Elad hazan, who will divide their time working for Princeton and Google. The lab will be based upon machine learning.
“We feel it’s a great opportunity, both for machine learning theorists at Princeton to benefit from exposure to real-world computing problems, and for Google to benefit from long-term, unconstrained academic research that Google may incorporate into future products,” claimed Singer.
Elad Hazan claimed that Princeton is highly qualified in theory behind machine learning, mathematics, computing, and optimization in general.
“As academics we try to think about theory for solving problems that are, many times, in the abstract, and it’s very helpful for us to be in touch with real-world problems. A primary focus of the group is developing efficient methods for faster training of learning machines,” Hazan claimed.
He also said that “The study of efficient mathematical optimization has deep roots in Princeton, starting from the work of John von Neumann.” According to him, John von Neumann was also the creator of game theory optimization algorithm.
“Computing started at Princeton more than 80 years ago when alumnus Alan Turing first introduced a theory for how machines could calculate,” Dean of the School of Engineering and Applied Science, Emily Carter, claimed. “This collaboration is another excellent example of how fundamental insights in mathematics and theoretical computer science drive new technologies with benefits far beyond the original domain of the work.”
Chairman of the Department of Computer Science, Jennifer Rexford, claimed that the latest projects are occurring at a time of substantial progress in data science areas like computer science at Princeton.
“The work with Google will complement all three pillars of excellence that make data science at Princeton strong today: a foundation in the theory and math behind computing; collaborations that are accelerating discovery across fields such as genomics, neuroscience, chemistry, psychology and sociology; and leadership, through our Center for Information Technology Policy, in the broader societal implications of computing such as bias and ethics in AI, privacy and security,” Rexford said.
He further said: “It’s an exciting opportunity to work with a leading company while also maintaining the strong academic independence and freedom that is essential to Princeton”.
A Google program manager, Andrew Pierson, says that the decision of starting a lab Princeton shows the Google’s old wish of cooperating with academic experts.
Another Google’s technical program manager, Amy McDonald Sandjideh, claimed that practically this decision of collaborating with Princeton is a talent. For the reason that the artificial intelligence researchers are few and the constant development needs latest motivations and cooperation.
