DataRobot Receives DHS S&T Award to Test ML Platform

Department of Homeland Security DHS

The Department of Homeland Security (DHS) Science & Technology Directorate (S&T) announced today that it awarded DataRobot $200,000 to begin testing a prototype of a machine learning platform for the U.S. Customs and Border Protection’s Global Travel Assessment System. The award is the maximum available through Phase 3 of DHS S&T’s Silicon Valley Innovation Program (SVIP), which funds startup technologies that advance the DHS mission. DataRobot plans to test its automated machine learning platform to help analyze risk criteria for air travelers. “With the number of international travelers to the United States increasing every year, we know we need better and faster tools to process incoming passengers,” said Melissa Ho, SVIP Managing Director. “An enhanced Global Travel Assessment System will mean a better travel experience for all passengers and increased safety for Americans,” she said.

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