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 Molino, Jason Yosinski, and Rosanne Liu. The … The post Controlling Text Generation with Plug and Play Language Models appeared first on Uber Engineering Blog ..read more

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 assistants that are becoming an integral part of daily life.  Along with this growth comes the need … The post Introducing the Plato Research Dialogue System: A Flexible Conversational AI Platform appeared first on Uber Engineering Blog ..read more

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 developing the most advanced scientific techniques in … The post Introducing the Uber Research Publications Site appeared first on Uber Engineering Blog ..read more

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 agent who speaks the user’s language and who … The post Improving the User Experience with Uber’s Customer Obsession Ticket Routing Workflow and Orchestration Engine appeared first on Uber Engineering Blog ..read more

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 platform. From modeling and experimentation to data analysis, algorithm development, and fundamental research, the … The post First Uber Science Symposium: Discussing the Next Generation of RL, NLP, ConvAI, and DL appeared first on Uber Engineering Blog ..read more

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 presents exciting technological challenges and opportunities. For Uber, … The post Announcing the 2019 Uber AI Residency appeared first on Uber Engineering Blog ..read more

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, convenient, and efficient experience for riders, drivers, … The post Applying Customer Feedback: How NLP & Deep Learning Improve Uber’s Maps appeared first on Uber Engineering Blog ..read more

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 driver-partner is stuck in … The post Improving Driver Communication through One-Click Chat, Uber’s Smart Reply System appeared first on Uber Engineering Blog ..read more

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 ticket responses (Contact Type and Reply) to customer support agents, with Contact … The post Scaling Uber’s Customer Support Ticket Assistant (COTA) System with Deep Learning appeared first on Uber Engineering Blog ..read more

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 influence their choice. For example, the time … The post Food Discovery with Uber Eats: Building a Query Understanding Engine appeared first on Uber Engineering Blog ..read more