2318 results for "earn" across all locations
Art, culture and history in Port Elizabeth, the jewel of Nelson Mandela Bay
Most may know it today as a city with popular beaches and beautiful, natural surroundings, there’s more history and culture than meets the eye.
New Facility Insights Report presents key learnings to shippers
Our first Facility Insights Report is a crucial step towards marketwide transparency.
Five Key Learnings from Uber’s Leadership Panel on the Power of Visibility
To celebrate International Women’s Day, we hosted a panel of leaders from across Uber showcasing the power of visibility. Ana Loibner, Global Mobility Chief of Staff and Women at Uber Global Board Member, shares what she learned.
They helped move the world. Learn how they can help your team.
Danielle Monaghan, Vice President, Global Head of Talent Acquisition shares our Talent Directory and why companies should reach out to those profiled.
Model Excellence Scores: A Framework for Enhancing the Quality of Machine Learning Systems at Scale
With the introduction of Model Excellence Scores at Uber, we’re setting a new standard for measuring, monitoring, and maintaining ML model quality–read how this innovative approach aims to enhance ML governance and provide clearer insights.
Meta-Graph: Few-Shot Link Prediction Using Meta-Learning
Uber AI introduces Meta-Graph, a new few-shot link prediction framework that facilitates the more accurate training of ML models that quickly adapt to new graph data.
IntentNet: Learning to Predict Intention from Raw Sensor Data
S. Casas, W. Luo, R. Urtasun
In order to plan a safe maneuver, self-driving vehicles need to understand the intent of other traffic participants. We define intent as a combination of discrete high level behaviors as well as continuous trajectories describing future motion. In this paper we develop a one-stage detector and forecaster that exploits both 3D point clouds produced by a LiDAR sensor as well as dynamic maps of the environment. […] [PDF]
Conference on Robot Learning (CORL), 2018
【Uber App Guide for Riders】learn more about Upfront Fares
Upfront fare is calculated based on your trip’s expected time and distance, the vehicle option you select (UberX, Black, UberXL, etc) and also accounts for the predicted traffic and availability of driver-partners at the time of the request. If demand is high and dynamic pricing is in effect, your upfront fare may be higher.
UberMENTOR: Ride and Learn from Jacksonville’s Best and Brightest
Fraud Detection: Using Relational Graph Learning to Detect Collusion
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