IoT + AI LLM

Large models, as artificial intelligence algorithms with massive parameters and complex structures, can process and analyze massive amounts of data, achieving intelligent perception and decision-making for complex scenes. The combination of big models and the Internet of Things can enable the capabilities of big models to move from the digital world to the physical world. Firstly, large models empower the intelligence of IoT applications. Fully tap into the capabilities of large models in human-computer interaction, code generation, multimodal perception and understanding, and further promote the intelligence of IoT systems. For example, users can use large models to manage smart home systems more intelligently. Secondly, large models are also of great significance in the application of perception data for the Internet of Things. The massive perceptual data generated by IoT devices needs to be analyzed and processed to be effective, and large models have the ability to process complex data. By developing a large model for IoT perception and applying it to the processing of IoT perception data, intelligent recognition, classification, and prediction of data can be achieved, providing more accurate and intelligent services for IoT applications.

In order to achieve the above goals, the laboratory focuses on research on intelligent agents for IoT systems, research on perception big models for multimodal perception data, and research on cloud edge collaborative computing architecture for empowering IoT with big models. By applying large models to the Internet of Things, the intelligence of IoT applications can be achieved, and the efficiency of processing and utilizing perception data can be improved, promoting the development of endogenous intelligent IoT technology.