Group 1 - The event "IQ Talk" focused on the development strategies, key technologies, industrial applications, and talent cultivation in the field of scientific intelligence, highlighting the transformative impact of AI on scientific research [1][2] - Experts believe that "AI for Science" signifies a paradigm shift in scientific research, enabling a new form of interdisciplinary collaboration and innovation [1] - The need for new talent with cross-disciplinary thinking, engineering practice, and social insight was emphasized to navigate the scientific cognitive revolution [1] Group 2 - AI-driven technologies are expected to overcome traditional R&D challenges such as long cycles and high costs, facilitating new scientific discoveries [2] - AI tools are being developed to address real scientific problems, including algorithms for predicting biological interactions and driving drug molecule design [2] - Demonstrations of AI platforms that integrate literature review, computation, experimentation, and multidisciplinary collaboration were showcased, indicating a shift from trial-and-error to computation-driven research paradigms [2]