Zhou Wanlei, Vice President of City University of Macau and Dean of the Faculty of Data Science, was recently invited to Guangzhou to attend the 10th National Conference on Intelligent Information Processing (NCIIP 2025). As a special guest, he delivered a special report to explore the necessity and research progress of forgetting in machine learning. This conference is hosted by the China Artificial Intelligence Association (CAAI), co-organized by CAAI Knowledge Engineering and Distributed Intelligence Committee and South China Normal University, and brings together many top international experts to discuss cutting-edge topics in intelligent information processing.

At the meeting, Vice President Zhou Wanlei talked about the theme of "Machine Unlearning: A New Privacy Requirement of the AI ​​Era" and said that machine learning has made significant progress in the past decade and has had a positive impact on our daily lives. However, some problems and thoughts caused by this, including privacy issues, usability considerations and the "right to be forgotten", have also followed, thus developing into a new concept - Machine Unlearning. Vice President Zhou conducted a comprehensive analysis of the necessity of forgetting in machine learning, and introduced in detail the research progress in related fields and solutions to deal with learning forgetting.

At the same event, Fan Wenfei, Chair Professor of the Faculty of Informatics at the University of Edinburgh, Zhang Min, Dean of the Institute of Computing and Intelligence at Harbin Institute of Technology (Shenzhen), and Geng Xin, Chief Professor of Southeast University, also gave keynote speeches, sharing their respective research results and cutting-edge insights.

The 10th National Intelligent Information Processing Academic Conference aims to provide an academic exchange and research and development platform for researchers, developers, related enterprises and users of intelligent information processing technology, strengthen communication and exchanges with international scholars and scholars in other related disciplines, share the achievements and experiences of intelligent information processing technology, and explore the challenges and research hotspots faced by intelligent information processing technology.

Source: The 10th National Intelligent Information Processing Academic Conference