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You ride, we donate!
Valentine’s Day is all about showing a little love in a unique way, to the extra special people in your life. This Valentine’s, we’re bringing you #Ub
Uber for Business teams up with travel management companies
Announcing alliances with Corporate Travel Management Australia, Direct Travel, Casto Travel, and Vision Travel Solutions.
Technology improvements for a better driving experience
In case you missed them, here's a recap of all the new in-app safety features and technology improvements we introduced in 2017.
Nashville uberX: Better, cheaper, faster than a taxi
Welcoming Ed Davis to the Uber Boston Family
From the moment you request a ride to the moment you arrive, the Uber experience has been designed from the ground up with the safety of our riders in mind. While technology helps ensure the speed, dependability, and safety of rides, people matter most to the Uber experience. With that in mind, Uber Boston is proud to welcome former Boston Police Commissioner Ed Davis to the Uber family as a senior advisor.
THANK YOU INDIA, FOR TWO AMAZING YEARS!
It’s been two years since we launched Uber in India and what a fantastic journey it has been. Providing riders in 22 cities across India access to a safe, reliable and convenient ride – all at the tap of a button, we are bringing positive change that has only just begun. We are woven into the fabric of India as we help people rediscover their cities like never before.
uberX Now Has a Permanent Home In Virginia
Thanks to your support, Virginia, Uber now has a permanent home in the Commonwealth.
Ludhiana – Get, Set, Kohli!
Be the change you want to see
Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions
R. Wang, J. Lehman, A. Rawal, J. Zhi, Y. Li, J. Clune, K. Stanley
Creating open-ended algorithms, which generate their own never-ending stream of novel and appropriately challenging learning opportunities, could help to automate and accelerate progress in machine learning. A recent step in this direction is the Paired Open-Ended Trailblazer (POET), an algorithm that generates and solves its own challenges, and allows solutions to goal-switch between challenges to avoid local optima. Here we introduce and empirically validate two new innovations to the original algorithm, as well as two external innovations designed to help elucidate its full potential. […] [PDF]
International Conference on Machine Learning (ICML), 2020