Shenzhen Tencent Computer System Co., Ltd., Tencent AI, Tencent's company-level AI strategic layout, is committed to machine learning/computer vision/speech recognition/natural language processing and other artificial intelligence field research
Tencent's company-level AI strategy is poised to take off, bringing together several AI scientists from around the world. He focuses on the research of artificial intelligence fields such as machine learning, computer vision, speech recognition, and natural language processing. Based on the massive data of Tencent's hundreds of millions of users and its technical advantages in various vertical fields of the Internet, Tencent is determined to build a world-class artificial intelligence team.
Tencent AI Lab (Tencent AI Lab) is Tencent's company-level AI strategy, gathering dozens of AI scientists and 50 world-class AI PhDs from around the world. Focus on Content AI, Social AI, and Game AI. He focuses on the research of artificial intelligence fields such as machine learning, computer vision, speech recognition, and natural language processing. Based on the massive data of Tencent's hundreds of millions of users and its technical advantages in various vertical fields of the Internet, Tencent is determined to build a world-class artificial intelligence team.
Computer vision
Track and research the most cutting-edge computer vision theories and algorithms, rely on the support of artificial intelligence and big data, give computers the ability to approach or even surpass the human visual system, improve the level of computers to complete various visual tasks, and explore the application of computers in the latest fields.
His main research branches include analysis, comprehension and editing of images and videos, face detection and recognition, object detection, tracking and classification, 3D vision, vision-based reinforcement learning, etc.
Speech recognition
Based on the acoustic model and language model, an intelligent "machine hearing system" and "machine conversation system" are created, so that the machine can "understand" human language and understand the information contained in the language, so as to achieve a real human-machine "dialogue".
His main research branches include language front-end processing, acoustic model/language model establishment, language decoding and speech synthesis.
Natural language processing
Give computer systems the ability to interact with the outside world in the form of natural language text (that is, enable computers to "read" natural language texts and "express" their own "thoughts" in the way of natural language texts), track and research the most cutting-edge natural language text understanding and generation technologies, and incubate the next generation of natural language processing technologies and business application scenarios.
Main research branches: semantic analysis, knowledge reasoning, intelligent question answering, machine translation, etc.
machine learning
Research cutting-edge machine learning theories and algorithms, and develop and deploy large-scale machine learning/deep learning systems. In the context of big data and the Internet, explore its application in social networking, advertising recommendation, industry big data, intelligent games, and AI based on perception and decision-making.
His research interests include machine learning theory, optimization algorithms, large-scale distributed computing, heterogeneous platforms, and innovative supervised, semi-supervised, and augmented machine learning algorithms.
In the development of new mobile Internet technologies, Tencent will focus on the wide application and basic research of AI technology, combine product data and user behavior learning, create personalized and innovative experiences for multiple products, and research breakthroughs in new algorithms while challenging difficult problems. At the same time, through cloud services and open platforms, we provide entrepreneurs with AI technologies accumulated in graphing, speech, natural language, machine learning, etc.
