Google Maps Uses DeepMind’s AI Tools To Predict Your Arrival

Google Maps uses DeepMind’s AI tools to predict your Arrival

Google Maps is one of the company’s most widely-used products, and its ability to Predict upcoming traffic jams makes it indispensable for many drivers.Each day, says Google, more than 1 billion kilometers of road are driven with the app’s help.

 Google Maps Uses Deepmind’s Ai Tools To Predict Your

But, as the search giant explains in a blog post today, its features have got more accurate thanks to machine learning Tools from DeepMind, the London-based AI lab owned by Google’s parent company Alphabet.

In the blog post, Google and DeepMind researchers explain how they take data from various sources and feed it into machine learning models to Predict traffic flows.

This data includes live traffic information collected anonymously from Android devices, historical traffic data, information like speed limits and construction sites from local governments, and also factors like the quality, size, and direction of any given road.

So, in Google’s estimates, paved Roads beat unpaved ones, while the algorithm will decide it’s sometimes faster to take a long stretch of a motorway than navigate multiple winding streets.

All this information is fed into neural networks designed by DeepMind that pick out patterns in the data and use them to Predict future traffic.Google says its new models have improved the accuracy of Google Maps’ real-time ETAs by up to 50 percent in some cities.

It also notes that it’s had to change the data it uses to make these predictions following the outbreak of COVID-19 and the subsequent change in road usage