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2225 results for "earn" across all locations

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Business 5 January 2018 / France

3 quick tips to better manage your organization’s Uber usage

Learn how to use your Uber for Business data to better structure and manage your organization’s employee and guest travel.

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Promotions 3 July 2017 / United Kingdom

Helping keep riders and drivers safe

Whether it’s getting to the airport in the morning or home after a night out, millions of people across the UK rely on Uber to book a safe ride from A

Engineering 1 May 2017 / Global

Bayesian Generative Adversarial Networks

Y. Saatchi, A. Wilson
Generative adversarial networks (GANs) can implicitly learn rich distributions over images, audio, and data which are hard to model with an explicit likelihood. We present a practical Bayesian formulation for unsupervised and semi-supervised learning with GANs. […] [PDF]
Advances in Neural Information Processing Systems (NeurIPS), 2017

Uber AI, Engineering 1 November 2017 / Global

Diffusion-based neuromodulation can eliminate catastrophic forgetting in simple neural networks

R. Velez, J. Clune
A long-term goal of AI is to produce agents that can learn a diversity of skills throughout their lifetimes and continuously improve those skills via experience. A longstanding obstacle towards that goal is catastrophic forgetting, which is when learning new information erases previously learned information. […] [PDF]
PLoS One, 2017

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Engineering, Mobile 5 October 2023 / Global

From Light to Dark: The Story Behind Dark Mode on the Android Uber App

Turn off the lights! Learn about our journey implementing dark mode on Android, and the strategies that made it possible.

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Engineering 8 June 2020 / Global

Introducing Neuropod, Uber ATG’s Open Source Deep Learning Inference Engine

Developed by Uber ATG, Neuropod is an abstraction layer that provides a universal interface to run models across any deep learning framework.

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Data / ML 31 October 2017 / Global

Turbocharging Analytics at Uber with our Data Science Workbench

Uber Engineering’s data science workbench (DSW) is an all-in-one toolbox that leverages aggregate data for interactive analytics and machine learning.

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Data / ML 18 December 2017 / Global

Welcoming the Era of Deep Neuroevolution

By leveraging neuroevolution to train deep neural networks, Uber AI Labs is developing solutions to solve reinforcement learning problems.

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Culture 9 January 2018 / Global

Engineering Confidence: A Beginner’s Guide to Overcoming Imposter Syndrome

How do you overcome imposter syndrome? Act with confidence, follow your first instinct, and always be learning and teaching.

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Uber AI 26 November 2018 / Global

Montezuma’s Revenge Solved by Go-Explore, a New Algorithm for Hard-Exploration Problems (Sets Records on Pitfall, Too)

Uber AI Labs introduces Go-Explore, a new reinforcement learning algorithm for solving a variety of challenging problems, especially in robotics.

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