Core Viewpoint - The article announces the upcoming "Artificial Intelligence Empowering Key Technologies in Materials Science" advanced training course aimed at promoting the deep application of AI in materials science and cultivating interdisciplinary talents with insights in materials and AI innovation [3][14]. Group 1: Course Details - The training course will take place from March 26 to March 29, 2026, in Beijing, with registration on the first day [4][15]. - Participants who meet the requirements will receive a training certificate issued by the Ministry of Industry and Information Technology [4][16]. - The course fee is 4,980 yuan per person, which includes expert lectures, venue, meals, materials, and teaching services; a group discount is available for three or more participants at 4,680 yuan each [12][16]. Group 2: Course Content - **Data Core Empowerment**: - Techniques for intelligent creation of materials driven by data and knowledge [8]. - Standards for materials science data and intelligent extraction of literature data [8]. - Cleaning, modeling, and visual presentation of heterogeneous data [8]. - Pathways for building AI-enabled materials databases [8]. - **Frontier Technology Applications**: - New materials discovery and design based on AI technology [9]. - Data enhancement and performance prediction driven by high-throughput materials computation [9]. - Reverse design of microstructures enabled by generative AI [9]. - Applications of AI in materials characterization and testing [9]. - Optimization of materials formulations and processes using AI [9]. - Intelligent experiments and designs in materials science powered by AI [9]. - Pathways for the implementation of intelligent materials industries supported by AI [9]. - **Practical Applications**: - Basics of programming languages and materials data processing [10]. - Dimensionality reduction and modeling of high-dimensional data [10]. - Applications and practices of machine learning in materials science [10]. - Practical applications of deep learning in materials science [10]. - Construction, evaluation, and application of large models in materials [10]. - Development and application of AI agents based on materials science [10]. Group 3: Target Audience and Faculty - The course is designed for leaders, researchers, and technical personnel from enterprises, research institutes, and universities engaged in materials-related work, as well as individuals interested in the intersection of AI and materials science [15]. - The training will feature expert instructors from top institutions such as the Chinese Academy of Sciences, Tsinghua University, and Shanghai Jiao Tong University [11].