工信部人才交流中心举办《人工智能赋能材料科学关键技术》高级研修班

Core Viewpoint - The article emphasizes the importance of integrating artificial intelligence (AI) with materials science to foster innovation and develop interdisciplinary talent in the field [1][2]. Summary by Sections Workshop Content - The workshop will cover various topics including: 1. New paradigms in materials science driven by AI 2. AI's role in data acquisition, processing, and standardization in materials science 3. AI-assisted discovery and design of new materials 4. Predicting material structures and properties using AI 5. Applications of AI in material characterization and testing 6. Multi-scale high-throughput computing in materials science 7. Automation in materials science experiments and design through AI 8. Core principles of AI-enabled materials science technologies 9. Applications and practices of machine learning in materials science 10. Case studies of deep learning applications in materials science 11. Applications of reinforcement learning in key materials science technologies 12. Neuromorphic and brain-like computing applications in materials science 13. AI technologies supporting intelligent manufacturing and industrialization of materials 14. Analysis of outstanding achievements in materials science enabled by AI [3][4]. Participants - The workshop is aimed at professionals from enterprises, research institutes, and universities engaged in materials science, as well as individuals interested in the field [5]. Schedule and Location - The fourth session is scheduled from September 11 to 14, 2025, in Guangzhou, with online participation available [6]. Fees and Registration - The fee for participation is 4,980 yuan per person, covering expert fees, venue, meals, materials, and teaching services. Accommodation is not included and must be arranged individually [7]. - Participants must submit a recent 2-inch photo during registration, and those who meet the criteria will receive a professional certificate from the Ministry of Industry and Information Technology [10].