中外院士共论前沿科技：AI驱动科研范式变革浪潮

Core Insights - The integration of AI technology into scientific research is accelerating, as evidenced by the awarding of the 2024 Nobel Prizes in Physics and Chemistry to scholars involved in AI-related studies [1] - The Third International Forum on Frontier Technology held at Soochow University focused on "AI for Science and Technology," highlighting the transformative impact of AI on research paradigms and technological innovation [1] Group 1: AI in Biomedical Research - AI is expected to revolutionize biomedical research, transitioning it from qualitative to quantitative science, as proposed by the Chinese Academy of Sciences [2] - The "Smart Simulation in Biomedical Research" initiative aims to quantitatively describe life phenomena and disease mechanisms using mathematical language [2] - AI is becoming a core driver for enhancing infrared imaging quality, with ongoing collaborations to apply this technology in clinical settings for surgical navigation [2] Group 2: AI in Manufacturing and Data Analysis - The introduction of AI in manufacturing processes is crucial for improving measurement accuracy and product quality, especially as product lifecycles shorten [3] - AI's capabilities in data processing and analysis, prediction, and innovation are significantly benefiting bioanalytical chemistry research [3] - In seismic data interpretation, AI has improved processing efficiency by approximately 70 times, reducing the time required from months to just 1-2 days while handling petabyte-scale data [3]