Engineering More Reliable Transportation with Machine Learning and AI at Uber
In recent months, Uber Engineering has shared how we use machine learning (ML), artificial intelligence (AI), and advanced technologies to create more seamless and reliable experiences for our users....
View ArticleCOTA: Improving Uber Customer Care with NLP & Machine Learning
To facilitate the best end-to-end experience possible for users, Uber is committed to making customer support easier and more accessible. Working toward this goal, Uber’s Customer Obsession team...
View ArticleIntroducing the Uber AI Residency
Uber AI Labs and Uber ATG Toronto are excited to announce the Uber AI Residency, an intensive one-year research training program slated to begin this summer. Uber has invested substantially in...
View ArticleFood Discovery with Uber Eats: Building a Query Understanding Engine
Choice is fundamental to the Uber Eats experience. At any given location, there could be thousands of restaurants and even more individual menu items for an eater to choose from. Many factors can...
View ArticleScaling Uber’s Customer Support Ticket Assistant (COTA) System with Deep...
Earlier this year, we introduced Uber’s Customer Obsession Ticket Assistant (COTA) system, a tool that leverages machine learning and natural language processing (NLP) techniques to recommend support...
View ArticleImproving Driver Communication through One-Click Chat, Uber’s Smart Reply System
Imagine standing curbside, waiting for your Uber ride to arrive. On your app, you see that the car is barely moving. You send them a message to find out what’s going on. Unbeknownst to you, your...
View ArticleApplying Customer Feedback: How NLP & Deep Learning Improve Uber’s Maps
High quality map data powers many aspects of the Uber trip experience. Services such as Search, Routing, and Estimated Time of Arrival (ETA) prediction rely on accurate map data to provide a safe,...
View ArticleAnnouncing the 2019 Uber AI Residency
By Theofanis Karaletsos, Ersin Yumer, Raquel Urtasun, and Zoubin Ghahramani on behalf of Uber AI Labs and Uber ATG Connecting the digital and physical worlds safely and reliably on the Uber platform...
View ArticleFirst Uber Science Symposium: Discussing the Next Generation of RL, NLP,...
At Uber, hundreds of data scientists, economists, AI researchers and engineers, product analysts, behavioral scientists, and other practitioners leverage scientific methods to solve challenges on our...
View ArticleImproving the User Experience with Uber’s Customer Obsession Ticket Routing...
Every day, Uber users around the world initiate customer support tickets through our Customer Obsession Platform. To ensure a seamless user experience, each of those tickets must be matched with an...
View ArticleIntroducing the Uber Research Publications Site
Zoubin Ghahramani is Uber’s Chief Scientist and the Head of AI. The ease and simplicity of Uber’s platform is built on fundamental advances in science and technology. Teams across Uber are committed to...
View ArticleIntroducing the Plato Research Dialogue System: A Flexible Conversational AI...
Intelligent conversational agents have evolved significantly over the past few decades, from keyword-spotting interactive voice response (IVR) systems to the cross-platform intelligent personal...
View ArticleControlling Text Generation with Plug and Play Language Models
This article is based on the paper “Plug and Play Language Models: A Simple Approach To Controlled Text Generation” by Sumanth Dathathri, Andrea Madotto, Janice Lan, Jane Hung, Eric Frank, Piero...
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