Group 1 - The core viewpoint of the articles emphasizes the transformative potential of "Artificial Intelligence+" in reshaping innovation paradigms and fostering a new era of human-machine-environment collaboration [1][2][3] - Experts highlight that "Artificial Intelligence+" is shifting from replacing physical labor to augmenting intellectual labor, fundamentally changing production, lifestyle, and learning methods [1][2] - The development of AI technologies, such as AlphaFold, demonstrates the capability of AI in scientific research, enabling precise predictions and data-driven methodologies [1] Group 2 - The integration of human, machine, and environmental systems is identified as the future direction for AI development, with a focus on leveraging human strategic planning alongside machine computational power [2] - In the medical field, "Artificial Intelligence+" is being redefined to enhance biopharmaceutical competitiveness through a system-oriented approach, emphasizing the potential of computational medicine [2] - The acceleration of foundational AI models is leading to a concentration among major platform companies, while startups are focusing on vertical applications, indicating a trend towards specialization in AI development [3]