Knowledge Engineering and Social Computing Team

The team focuses on theoretical and methodological research in data mining, image processing, large-scale model architectures, electrical signal detection, emergency equipment manufacturing, and other areas. This includes online learning recommendation, knowledge acquisition, biological computing, knowledge representation, emergency rescue, and its applications.

Industrial Artificial Intelligence Innovation and Application Team

The team conducts interdisciplinary algorithm innovation in artificial intelligence and big data, digital media spatial computing, and multimedia intelligent processing. It also carries out applied research in smart manufacturing, medical large models, humanoid robots, intelligent mining, marine smart aquaculture, intelligent additive manufacturing, digital human technology, and AR/VR to address industry needs.

Computer Vision and Autonomous Driving Team

The team addresses artificial intelligence challenges such as stereo matching, image analysis, environmental perception, 3D reconstruction, pattern recognition, and planning decision-making in autonomous driving, robotics, industrial inspection, and intelligent transportation. It conducts fundamental applied research on computer vision and deep learning for complex scenarios.

Machine Learning and Data Mining Team

The team delves into theoretical research on machine learning algorithms and learning theory, exploring the core principles and technologies of artificial intelligence. The research achievements are applied to recommendation systems, medical image processing, and other fields. It also actively explores the "intelligent biological fermentation" domain, integrating machine learning with biological fermentation technology to provide intelligent solutions for biomanufacturing and fermentation engineering.

Data Science and Intelligent Perception & Decision-Making Team

With the core goal of "data driving intelligence, perception empowering decision-making," the team focuses on the integration of data science, machine learning, and intelligent perception and decision-making technologies. It covers full-chain innovation from fundamental algorithm research to industry application implementation, achieving distinctive results in intelligent decision-making, smart healthcare, big data processing, remote sensing monitoring, human-machine collaboration, and other areas.

Image Recognition and Intelligent Control Team

The team researches industrial internet, machine vision, and big data mining, involving pattern recognition, image processing technology, computer vision, and deep support vector machines. This includes fundamental applied research on pattern recognition technologies based on deep neural networks in smart agriculture, human behavior recognition, industrial internet big data analysis and modeling, and digital twinning of artworks.

Intelligent Internet of Things and Information Security Team

The team specializes in research and practice related to artificial intelligence, the Internet of Things, and network security. It explores new ideas, approaches, and methods for intelligent IoT and information security in digital development, including IoT and industrial control security research centered on the power IoT, artificial intelligence and large models, and industrial intelligent equipment technology.

Pattern Recognition and Big Data Processing Team

For years, the team has focused on the research and application of image processing, pattern recognition, machine learning, and big data processing, as well as the development of embedded systems and management information systems. It has developed numerous systems and products in computer vision detection, intelligent monitoring and big data analysis systems, food safety traceability systems, embedded development, and comprehensive applications of IoT technology.

Quantum Computing & Quantum Artificial Intelligence Team

The team tackles technical challenges in quantum computing, with distinct features in quantum-classical hybrid algorithms, quantum chip design, and quantum-classical hybrid cloud platforms. Driven by application-oriented research, it focuses on industrial internet equipment fault diagnosis and predictive analysis, drug screening, path planning, and other business scenarios.