人工智能带来的巨大变革意味着超越的机会 我们也许已经迎来了这个机会（院士讲科普）

Group 1: Impact of Artificial Intelligence on Scientific Research - Artificial intelligence (AI) is fundamentally changing the methodology of scientific research, leading to a paradigm shift in how research is conducted [2][4][7] - Traditional research methods are becoming increasingly unsustainable due to high costs and long timelines, making AI a necessary tool for efficiency and innovation [2][5] - AI serves as a universal language that transcends disciplinary boundaries, facilitating collaboration and enhancing creativity in scientific endeavors [2][6][7] Group 2: Technological Advancements and Innovations - The launch of the "Three-Body Computing Constellation" by Zhijiang Laboratory represents a significant advancement in space-based computing infrastructure, aimed at improving data processing efficiency [4][5] - The interconnectedness of satellites in space will enhance their operational value, reduce costs, and improve response times for critical applications such as disaster relief [5][6] - AI is not merely a tool but a revolutionary force in science, enabling new forms of discovery and innovation [2][4][7] Group 3: Future of AI in Scientific Community - The integration of AI in research is seen as essential for scientists to remain relevant, with those who adopt AI likely to outperform those who do not [6][7] - Ethical considerations surrounding AI usage in research are acknowledged, emphasizing the need for responsible governance and risk management [6][7] - The current era is characterized by rapid technological change, presenting significant opportunities for both individuals and nations to contribute to scientific advancements [7][8]