人工智能与科学仪器融合发展论坛——智启新程 人工智能驱动科学仪器创新变革
仪器信息网·2025-05-14 09:01

Group 1 - The 18th China Scientific Instrument Development Annual Conference (ACCSI 2025) was held in Shanghai, featuring over 150 reports and attracting more than 1800 participants from various sectors including government, academia, and industry [2][32] - The theme of the conference was "Digital Intelligence Driven, New Quality Leading," with a focus on the integration of artificial intelligence (AI) and scientific instruments [2][5] - The "Artificial Intelligence and Scientific Instrument Integration Development Forum" was a key highlight, discussing new paths for AI and scientific instrument integration and fostering collaboration in the field [2][5][32] Group 2 - Since AI was first mentioned in the government work report in 2017, it has gained significant attention, with the 2024 report emphasizing the "AI+" initiative to cultivate emerging industries [5] - The forum featured eight guest speakers who shared insights on how AI can drive breakthroughs in scientific instruments and its profound impact on the industry [5][8] - Various reports highlighted AI's role in enhancing efficiency and accuracy in scientific research, including advancements in electronic paramagnetic resonance spectroscopy and crystal structure analysis [9][18] Group 3 - The application of AI in aerospace technology was discussed, focusing on the development of spectral detection instruments and the need for high-resolution, high-sensitivity instruments [11][12] - The potential of large models in scientific instruments was explored, showcasing their capabilities in reasoning, innovation, and automation [14][15] - AI's ability to automate and enhance laboratory processes was emphasized, with examples of successful implementations in various experimental settings [20][18] Group 4 - AI's transformative impact on environmental monitoring was presented, with case studies on pollution management and water quality monitoring [28][29] - The integration of AI in environmental monitoring systems was discussed, highlighting its role in improving monitoring efficiency and accuracy [29] - The forum served as a high-quality platform for industry professionals to exchange ideas and foster the deep integration of AI and scientific instruments [32]