Initial Exploration of the Transformation of Technology Museums Empowered by Artificial Intelligence

Abstract

Traditional science and technology museums are facing challenges in the rapid advancements in science and technology. These challenges include limited exhibition formats, outdated methods of conveying information, and inefficient resource management. However, with the rapid development of artificial intelligence technology, there is an opportunity to overcome these challenges. Artificial intelligence technology, specifically in the field of natural language processing, has made significant progress in improving multilingual understanding and generative models. This advancement can greatly enhance the learning experience for diverse audiences. In addition, the development of computer vision technology focuses on scene understanding, video analysis, and visual inference. These advancements can provide a more immersive and engaging exhibition experience at science and technology museums. This paper aims to explore how traditional science and technology museums can integrate and redesign artificial intelligence technology to better meet the needs of their audiences. By doing so, it can improve the effectiveness of science and technology communication and enable museums to adapt more flexibly to the rapidly changing science and technology landscape. The findings of this study can provide strategic considerations and guidance for the future development of science and technology museums.