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AI + Big Data: Speeding Scientific Discovery
Scientists now are able to collect massive amounts of data for use in studying phenomona anywhere from the microscopic to the reaches of our galaxy. But quickly and efficiently processing huge amounts of data is still beyond the reach of current technology.
To enable the creation of better ways to process large amounts of data, the NSF has awarded $15 million for the creation of a project called Accelerated AI Algorithms for Data-Driven Discovery (A3D3). The program brings together a collaborative team of researchers from UC San Diego, Caltech, Duke University, MIT, Purdue University, UIUC, University of Minnesota, University of Washington and the University of Wisconsin-Madison.”
Mark Neubauer, a professor at the University of Illinois, said that “the aim of A3D3 is to build a series of tools that will enable the real-time processing of this data deluge using AI. Clever combination of innovative AI algorithms and new hardware architectures for accelerated computation is leading to a revolution in the way we analyze data. Together they provide highly-performant, configurable data analysis capabilities that allow fundamentally new scientific questions to be posed and answered. We believe that A3D3 will be the nexus for real-time AI applied to frontier science. A3D3 aims to enable advanced analyses, such as anomaly detection, and particle reconstruction on all collisions – occurring at a rate of 40 million times per second!”
