6693 results for "drivers" across all locations
April 14th – Pickups at Xcel Energy Center
The Time Has Come to Sell Your Car
If you’ve been meaning to part ways with your car, you don’t have to wait until 2016 to make it part of your New Year’s resolution. We’re partnering with Shift to make it easier — and more rewarding — for Uber riders in Los Angeles to sell their car before the end of the year.
Toronto, are you all in for Raptors playoffs?
What plans would you drop to go to Game 5? Enter to win a pair of tickets (2) to go to Game 5 in Toronto.
UberBOAT is About to Set Sail
UberBOAT is setting sail in Cairo.
Presto® Express: Speeding up Query Processing with Minimal Resources
Slow Presto® queries can hinder data-driven operations. At Uber, we designed Presto express to achieve a 50% improvement in the end-to-end SLA for 70% of queries using query analysis, real-time insights, and resource isolation.
Physically Realizable Adversarial Examples for LiDAR Object Detection
J. Tu, M.Ren, S.Manivasagam, B. Yang, M. Liang, R. Du, F.Cheng,
R. Urtasun
Modern autonomous driving systems rely heavily on deep learning models to process point cloud sensory data; meanwhile, deep models have been shown to be susceptible to adversarial attacks with visually imperceptible perturbations. Despite the fact that this poses a security concern for the self-driving industry, there has been very little exploration in terms of 3D perception, as most adversarial attacks have only been applied to 2D flat images. […] [PDF]
Computer Vision and Pattern Recognition
(CVPR), 2017
Visit These Popular Chicago Museums for Free
Don’t miss your weekend rewards
Uber weekend rides paid via HDFC cards will be discounted for 20% of the total fare upto a maximum of Rs.75/ride. Valid on 20 rides.
Marketing Coordinator in the Uber team
Join the Uber team in Bucharest as Marketing Coordinator if you want to have the opportunity to set the world in motion.
Building Reliable Reprocessing and Dead Letter Queues with Apache Kafka
The Uber Insurance Engineering team extended Kafka’s role in our existing event-driven architecture by using non-blocking request reprocessing and dead letter queues (DLQ) to achieve decoupled, observable error-handling without disrupting real-time traffic.