人工智能+科研：用好这个科学发现的“共创伙伴”

Group 1 - Artificial Intelligence (AI) is redefining the path of scientific discovery, transitioning from a mere tool to a "new engine" and "new partner" in research, driving original discoveries and transforming research paradigms [1][2] - AI is enabling a leap from "understanding" to "restructuring" in various fields, such as transforming traditional medicine into precision medicine by converting vast multidimensional data into actionable medical decisions, thus accelerating the arrival of the precision medicine era [1][2] - The integration of AI in research is shifting the paradigm from traditional "trial and error" to "goal-driven reverse design," providing new pathways for complex interdisciplinary problems [2] Group 2 - The role of future researchers, especially young scholars and students, is evolving to embrace AI, requiring them to master their field while learning to collaborate with AI in hypothesis generation, experiment design, and result analysis [3] - Educational structures are transitioning from a binary model of "teacher teaches, student learns" to a triadic model involving "student—AI—teacher," fostering deeper collaboration [2][3] - Institutions need to build supportive computational platforms, data environments, and interdisciplinary cultures to facilitate "human-machine collaboration," while reforming evaluation systems to encourage exploration in this new paradigm [3]