DeepMind claims its AI improved Google Maps travel time estimates by up to 50%

DeepMind today detailed a collaboration with Google that reportedly improved the accuracy of real-time driving ETAs in Google Maps and Google Maps Platform APIs by up to 50% in some regions, including Berlin, Jakarta, São Paulo, Sydney, Tokyo, and Washington D.C. Through the use of machine learning techniques, DeepMind claims it minimized traffic prediction inaccuracies by incorporating relational learning biases that model road networks.

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