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  1. Prikvačeni tweet
    28. sij

    New on the blog today: In October 2019, hosted our second annual Moving The World With Data meetup, showcasing some of our most interesting data science challenges in 2019.

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  2. We designed the map display of our driver app to be resilient, and always show the most useful information.

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  3. Zoubin Ghahramani, Head of Uber AI, discusses how we use artificial intelligence techniques to make our platform more efficient for users.

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  4. Uber's many data flows required modeling the data associated with a specific task, such as a rider trip, into a state machine. The state machine lets engineers focus on just the events needed to successfully accomplish a trip.

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  5. Just blocks from Times Square and Bryant Park, Uber’s office in midtown Manhattan is home to more than a dozen teams, hundreds of employees (and growing), and a wide variety of engineering roles.

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  6. 2. velj

    The Plato Research Dialogue System enables experts and non-experts alike to quickly build, train, and deploy conversational AI agents.

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  7. 2. velj

    AresDB is Uber's open source real-time analytics engine that leverages GPUs to enable real-time computation and data processing in parallel.

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  8. 2. velj

    We reflect our journey to scaling machine learning at Uber and lessons learned along the way.

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  9. 2. velj

    We spoke to Data Science Director Fran Bell about machine learning at Uber and what she finds most challenging—and rewarding—about her work.

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  10. 1. velj

    Visual Inspector for Neuroevolution is an open source interactive data visualization tool to help neuroevolution researchers better understand this family of algorithms.

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  11. 1. velj

    Kraken is an open source peer-to-peer Docker registry capable of distributing terabytes of data in seconds.

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  12. 1. velj

    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.

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  13. 1. velj

    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.

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  14. proslijedio/la je Tweet
    31. sij

    Join us for the first-ever hosted by on March 24th in the Bay Area! Learn about use cases, best practices & learnings from companies like Facebook, Uber, Twitter, Alluxio & more. Early bird reg and CFP now open!

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  15. 31. sij

    Manifold is a visual debugging tool that enables users to quickly identify performance issues in machine learning models.

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  16. 31. sij

    RxCentral is an open source library to reliably and repeatedly connect Bluetooth devices using a platform-agnostic, reactive design.

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  17. 31. sij

    To determine if it made sense to adopt Kotlin for our Android monorepo, Uber's Mobile Engineering team measured Kotlin build performance at scale across a variety of project structures.

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  18. 31. sij

    Get to know Uber Aarhus Engineering and the work they do behind the scenes to build and maintain our storage and compute platforms.

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  19. 30. sij

    Organizations across industries need accurate short-term, tactical forecasts, such as the amount of goods to be ordered and number of employees needed, to keep pace with their growth.

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  20. 30. sij

    'Almost every big tech firm has a visualization branch, but I think was one of the first to have a strong visualization team in terms of working across different domains (both physical and virtual) and open sourcing our tools.'

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  21. 30. sij

    In 2019, our engagements with the open hsource community included contributing to projects to joining and founding new open source support organizations.

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