Technology Information Data
Technology Information Data (TID) research focuses on leveraging technological advancements to efficiently manage, analyze, and utilize diverse data types. Current research emphasizes the development and application of AI models, including large language models (LLMs), deep learning architectures for image and video processing, and Bayesian optimization for engineering applications, to improve data analysis and decision-making across various sectors. This field is crucial for addressing challenges in areas such as waste management, language preservation, healthcare, and manufacturing, ultimately impacting efficiency, sustainability, and equitable access to information and services.
Papers
Spike up Prime Interest in Science and Technology through Constructionist Games
Pavel Petrovič, Fedir Agarshev
Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models
Yixin Liu, Kai Zhang, Yuan Li, Zhiling Yan, Chujie Gao, Ruoxi Chen, Zhengqing Yuan, Yue Huang, Hanchi Sun, Jianfeng Gao, Lifang He, Lichao Sun