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
Social-Cultural Factors in the Design of Technology for Hispanic People with Stroke
Elizabeth D. Vasquez, Allison M. Okamura, Sean Follmer
Scientific and Technological Information Oriented Semantics-adversarial and Media-adversarial Cross-media Retrieval
Ang Li, Junping Du, Feifei Kou, Zhe Xue, Xin Xu, Mingying Xu, Yang Jiang