Professor Zhong Yixin, a member of NAAI, and Eric Werner, a member at the Oxford Foundation for Advanced Research in the UK, discussed the successful conclusion of the

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On the evening of March 6th from 8:00 to 9:30, Professor Zhong Yixin (National Academy of Artificial Intelligence) from Beijing University of Posts and Telecommunications and Eric Werner (International Academy of Information Research Sciences) from the Oxford Foundation for Advanced Research in the UK successfully held an online bilateral seminar on the theme of "Artificial Intelligence Paradigm Revolution". Two experts delved into the latest developments and future trends in the field of artificial intelligence, attracting numerous industry professionals to participate online and receiving enthusiastic responses.

 

Professor Zhong Yixin shared his insights on the paradigm revolution in artificial intelligence research during the discussion, emphasizing the importance of establishing an information science paradigm for achieving breakthroughs in the fundamental theory of artificial intelligence. He pointed out that breaking through the constraints of the material discipline paradigm and adopting the information discipline paradigm to lead artificial intelligence research can reveal the "laws of information transformation and intelligent creation", thus creating a mechanistic general artificial intelligence theory.

 

Researcher Eric Werner explored the application of artificial intelligence in modeling biological systems and understanding complex systems, sharing his research achievements in the fields of bioinformatics and systems biology. He emphasized the importance of interdisciplinary research in promoting the development of artificial intelligence and called for the integration of biological principles into AI algorithm design to achieve higher levels of intelligent systems.

 

The successful holding of this seminar provides a valuable communication platform for researchers and practitioners in the field of artificial intelligence, promotes the collision and integration of different research paradigms, and helps to promote the innovation and development of basic theories of artificial intelligence.