Didi AI Lab
DiDi AI Laboratory,frontier technology laboratory for global intelligent transportation
Didi AI Lab Official Website, Pioneering Technology Laboratory for Global Intelligent Transportation
AI Lab
Didi AI Lab (AI Labs) primarily explores technical challenges in the AI field, focusing on cutting-edge research and applications in machine learning, natural language processing, computer vision, speech recognition, operations research, and statistics. It actively plans for the next generation of technology, continuously improving user travel efficiency and experience, and building a new ecological system for intelligent travel. Didi AI Labs is committed to becoming a leading technology laboratory for global intelligent transportation and opening a new era of scientific research for Didi.
Didi AI Lab Official Website:https://www.didiglobal.com/science/ailabs
Product Introduction
Natural Language Processing
Advancing the frontiers of natural language understanding and generation, deeply engaging in dialogue systems and machine translation, creating Didi's intelligent customer service system and a caring travel assistant.
Rider and Driver Experience
Enhancing user travel experience and service efficiency with artificial intelligence methods based on travel big data.
Platform Efficiency
Optimizing transaction and operational strategies with statistical learning, reinforcement learning, and simulation systems, and improving intelligent systems.
Voice Interaction Technology
Focused on the in-car domain, offering high-performance voice wake-up, recognition, synthesis, and dialogue understanding technologies.
Computer Vision
Focusing on optical character recognition, facial recognition, quality inspection, perception, understanding, and interaction technologies, providing technical solutions for standard quality inspection of travel services, travel traffic perception and understanding, and intelligent interaction.
Intelligent Map Engine
Developing a new map service system tailored for Didi's massive real-time travel data and complex business scenarios, such as route planning, time estimation (ETA), and traffic conditions.