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2287 results for "earn" across all locations

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Products 3 July 2018 / Colombo

New to Uber? Let’s show you around

New to Uber? Let’s show you around. Learn everything from picking a destination, confirming your ride and to getting to know your driver

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Products 11 April 2018 / Hong Kong

uberASSIST – making our city more accessible

Here at Uber, we are evolving the way cities move and making cities more accessible. Learn more about uberASSIST now.

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Products 12 December 2017 / Seattle

Introducing airport Re-Match

Uber Re-Match is a program designed to improve your pickup experience at Sea-Tac Airport. Learn about the pilot program and its early results.

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Stories 23 August 2017 / Montreal

Meet Steven, driver-partner, father, and bagel shop owner

With a passion for bagels and playing tour guide for his riders, Steven is one of a kind. Learn more about the people who keep Montreal moving.

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Business 6 November 2014 / US

Morgan Stanley Rides with Uber!

Today Morgan Stanley announced that Uber is officially included in their corporate travel policy as a recommended transportation option for all employees. Learn more…

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Drive 11 October 2017 / US

We’re making multiple stops smoother

Starting in October 2017, you’ll be notified when a rider adds extra stops to their trip. Learn more about this new in-app feature.

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Data / ML 5 September 2017 / Global

Meet Michelangelo: Uber’s Machine Learning Platform

Uber Engineering introduces Michelangelo, our machine learning-as-a-service system that enables teams to easily build, deploy, and operate ML solutions at scale.

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Engineering 15 April 2019 / Global

Learning on the Go: Engineering Efficiency with Concise Documentation

Uber Technical Writer Shannon Brown offers three tips for creating concise, meaningful documentation.

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Uber AI, Engineering 14 November 2018 / Global

NVIDIA: Accelerating Deep Learning with Uber’s Horovod

Horovod, Uber’s open source distributed deep learning system, enables NVIDIA to scale model training from one to eight GPUs for their self-driving sensing and perception technologies.

Uber AI, Engineering 1 October 2019 / Global

DAGMapper: Learning to Map by Discovering Lane Topology

N. Homayounfar, W.-C. Ma*, J. Liang*, X. Wu, J. Fan, R. Urtasun
We map complex lane topologies in highways by formulating the problem as a deep directed graphical model. As an interesting result, we can train our model in I40 and generalize to unseen highways in SF. [PDF]
International Conference on Computer Vision (ICCV), 2019