Wednesday, January 16, 2019

Google's Machine Learning Tools Used To Identify LA Potholes

Machine learning and artificial intelligence are two of the biggest buzzwords in technology today--but how are they being used to help you in everyday life? Google said on Wednesday that a team at Loyola Marymount University is using its open source, machine learning tool--TensorFlow--as part of a project to help identify potholes and cracks in Los Angeles, in an attempt to perhaps improve the flow of traffic through the city. According to Google, the student team at Loyola Marymount created software, based on TensorFlow, for detecting road cracks and potholes based on footage of L.A. roads, and suggests its technology might be useful to help identify which roads need fixing the most in cities. Google and the student research team did not say if it's reporting those to LA, which already lets users report potholes through an app, MyLA311.

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