CS Assistant Professor Vladimir Braverman likens the algorithms that he and his team are inventing to deal with massive amounts of streaming data to the hammers and picks that miners use to remove precious metals from the Earth.
“In order for us to extract patterns and valuable information that are hiding in all that data, we need to build strong new hammers,” says the computer scientist, a co-principal investigator on a three-year, $1 million National Science Foundation grant aimed at developing algorithms that will allow researchers to better extract information from massive streams of data.
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