Keynote speakers include Jim Zemlin, executive director of the Linux Foundation, and Zoubin Ghahramani, chief scientist at Uber AI Labs.
Differentiable Plasticity is a new machine learning method for training neural networks to change their connection weights adaptively even after training is completed, allowing a form of learning inspired by the lifelong plasticity of biological brains.
The design of Uber's driver support kiosk drew inspiration from arcade games of the past along with new thinking on how to engage with customers in public spaces.
Interested in accelerating your career by tackling some of Uber’s most challenging AI problems? Apply for the Uber AI Residency, a research fellowship dedicated to fostering the next generation of AI talent.
Arriving now: Uber's Chief Scientist Zoubin Ghahramani introduces Uber AI Labs' newest team member, award-winning neuroscientist Peter Dayan.
Pyro is an open source probabilistic programming language that unites modern deep learning with Bayesian modeling for a tool-first approach to AI.
In March 2016, we launched our first public bug bounty program. Here’s an overview, by the numbers, of our first 100 days.
Uber Engineering's free Android program with CodePath at our San Francisco office in summer 2016, our first partnership to expand mobile engineering opportunities in the community.
To help with Uber's bug bounty quest, Uber’s engineering security team has assembled this treasure map of various services at Uber and tips for uncovering security issues.
Announcing Uber’s Open Source Site, highlighting some of the best open source projects from our public Github page.
Introducing our engineering blog, #UberEng.