Researchers at Rochester Institute of Technology are sharing their work amongst the world’s top artificial intelligence experts this week at NeurIPS 2018, the premier AI conference. The RIT team designed and implemented an algorithm that allows AI to analyze high-dimensional data sets more efficiently.
A paper on the RIT work, called “Sparse Covariance Modeling in High Dimensions with Gaussian Processes,” was accepted for the Conference on Neural Information Processing Systems (NeurIPS), where academics and industry share work that pushes the boundaries of what is possible in AI. Rui Li, an assistant professor of computing and information sciences at RIT, was invited to give a spotlight presentation at the conference Dec. 5 in Montreal.
NeurIPS is the longest-running and largest artificial intelligence gathering for scientists and industry, with nearly 9,000 attendees this year. In fact, the first batch of 2,000 tickets for the conference sold out in less than 12 minutes.
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