Core Insights - The 10th Xinyi Technology Cup Global Artificial Intelligence Algorithm Competition focused on "visual deep forgery recognition," attracting 652 participants and 426 teams from renowned global enterprises and universities [1] - The competition aimed to develop algorithms capable of accurately identifying genuine and fake images to combat the rising threats of deep forgery attacks, which pose significant risks to personal privacy and financial security [1] - The event served as a platform for deep dialogue between academia and industry, reflecting systematic thinking on the risks associated with generative AI [1] Group 1 - The final competition showcased diverse algorithm solutions with both cutting-edge exploration value and practical application potential [1] - The champion team excelled in cross-domain recognition, maintaining high accuracy across various scenarios [1] - Experts from Fudan University, Zhejiang University, and the Chinese Academy of Sciences evaluated the participants' results, providing in-depth feedback on technical paths, training methods, and application value [1] Group 2 - Xinyi Technology's CEO Li Tiezhen highlighted the competition's role in connecting nearly 5,000 teams and attracting around 10,000 elite individuals from top global universities, enterprises, and research institutions over the past decade [2] - The competition aims to create an open platform for deep integration of industry, academia, and research, promoting innovation in cutting-edge technologies and responsible AI development [2]