Computer scientists at the University of California San Diego have developed FitRec, a recommendation tool powered by deep learning, that is able to better estimate runners' heart rates during a workout and predict and recommend routes. The team will present their work at the WWW 19 conference May 13 to 17 in San Francisco.
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