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Latest Articles
12 JUL

Enhancing the Quality of Uber’s Maps with Metrics Computation

Maps make up the bedrock of Uber's transportation solutions. Find out how we ensure the quality of our map data through extensive metrics computation, maintaining fidelity to real world locations and pinpointing allowable pick up and drop off locations for riders.

15 JUN

How Trip Inferences and Machine Learning Optimize Delivery Times on Uber Eats

Using GPS and sensor data from Android phones, Uber engineers develop a state model for trips taken by Uber Eats delivery-partners, helping to optimize trip timing for delivery-partners and eaters alike.

14 JUN

Advanced Technologies for Detecting and Preventing Fraud at Uber

To detect and prevent fraud, Uber brings to bear data science and machine learning, analyzing GPS traces and usage patterns to identify suspicious behavior.

19 APR

Rethinking GPS: Engineering Next-Gen Location at Uber

Uber’s Sensing, Inference, and Research team released a software upgrade for GPS on Android phones that significantly improves location accuracy in urban environments.

10 NOV

Engineering More Reliable Transportation with Machine Learning and AI at Uber

In this article, we highlight how Uber leverages machine learning and artificial intelligence to tackle engineering challenges at scale.

29 JUN

How Uber Engineering Increases Safe Driving with Telematics

The engineering behind how Uber's Driving Safety team is using telematics to raise awareness of driving patterns to our partners.

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