2024 Bund Finance Summit AI Innovation Competition: Ten Thousand Sharpest Minds Compete on the Stage of Science and Technology Innovation

2024 Bund Finance Summit AI Innovation Competition: Ten Thousand Sharpest Minds Compete on the Stage of Science and Technology InnovationThe 2024 Bund Finance Summit will officially open in Shanghai this Thursday. As a key component of the Summit, the results of the Science and Technology Intelligent Innovation Competition will be announced on September 3rd

2024 Bund Finance Summit AI Innovation Competition: Ten Thousand Sharpest Minds Compete on the Stage of Science and Technology Innovation

The 2024 Bund Finance Summit will officially open in Shanghai this Thursday. As a key component of the Summit, the results of the Science and Technology Intelligent Innovation Competition will be announced on September 3rd. This year, the Bund Finance Summit added the Science and Technology Intelligent Innovation Competition for the first time, which includes two sub-competitions: AFAC2024 Financial Intelligence Innovation Competition (AFAC Competition) and Global Deepfake Attack and Defense Challenge (Deepfake Competition). After three months of fierce competition, the champion teams of both sub-competitions have been decided.

• The AFAC Competition attracted over 7,000 participating teams and nearly 10,000 contestants from more than 20 countries and regions. The competition was divided into three categories: Challenge Group, Startup Group, and Enterprise Group, targeting developers, startup teams/seed companies, and small and medium-sized enterprises in the fintech industry respectively. Participants were encouraged to use real data in the fintech field to solve practical problems, develop sample applications, and implement projects. In the end, 6 excellent teams from world-renowned universities such as Peking University, Fudan University, Stanford, MIT, and National University of Singapore, as well as renowned companies like Microsoft, Google, Meituan, Xiaohongshu, and research institutions like the Institute of Automation of the Chinese Academy of Sciences, Microsoft Research Asia, and the ASTAR, emerged as champions, winning first place in the Challenge Group, the Enterprise Group, and second place in the Startup Group (first place in the Startup Group was vacant).

The Deepfake Attack and Defense Competition was won by a team from the University of Macau in the image track and individual participant Tang Yongwei in the audio/video track. The joint team composed of scholars from Hong Kong and Macau excelled in the image track, achieving a deepfake identification rate of 97.038% for multiple types and scenes. Individual participant Tang Yongwei, who had self-learned computer science, has won numerous AI competitions and ultimately emerged victorious in the video track. Notably, Tang Yongwei also won second place in the AFAC Competition's financial tool learning topic, making him a true "double champion."

The competition organizers stated that the event attracted over 10,000 "sharpest minds" globally, providing a platform for innovators, relevant industries and companies, and the entire city. Through the competition, a scientific and technological innovation atmosphere can be fostered, enhancing exchanges of talent both domestically and internationally, extending the influence of the Bund Finance Summit, and serving Shanghai's goal of becoming a global center for scientific and technological innovation.

"Hosting such an international event during the Bund Finance Summit is truly a win-win situation," said Professor Xiao Yanghua, from the School of Computer Science of Fudan University and Director of the Shanghai Key Laboratory of Data Science, who was also one of the problem setters for the AFAC2024 competition.

The Deepfake Competition was chaired by Academician Wang Yaonan of the Chinese Academy of Engineering, with Ant Group's ZOLOZ and Tianji Labs serving as the problem setters. The competition covered the two main research directions of deepfake: image and audio-video, making it one of the most authoritative events in the field of CV (computer vision). The competition's dataset was composed of public data and forged data. Among them, the forged image data covered over 50 generation methods in real-world scenarios, while the forged audio-video data included over 100 combined attack methods. The total amount of training dataset opened by the organizing committee exceeded 1 million.

Zhao Wenbiao, CEO of Ant Group, stated that Deepfake has evolved into a global technological challenge, and this competition provides an excellent opportunity for researchers in adversarial technology to exchange ideas. Ant Group's ZOLOZ has been researching deepfake attack and defense technology since 2019 and has served financial, telecommunications, and government agencies in dozens of countries and regions. Integrating its practical experience accumulated in commercial attack and defense into the competition design and dataset aims to forge a camaraderie with peers and jointly elevate the security defense level of the entire industry.

• "This competition provides a high-fidelity simulation of real industrial environments for technology researchers, which is conducive to the integration of industry, academia, and research, nurturing responsible, practical talent," said Zhou Tianyi, Deputy Director of the ASTAR's Advanced Artificial Intelligence Center and co-organizer of the competition.

Whether it's the Deepfake Competition or the AFAC Competition, both embody the concept of "promoting innovation through competition," providing a stage for different types of talent to showcase their abilities. The competition organizers expressed their commitment to their initial goal of "technology for good," promising to set more forward-looking and applicable competition topics to nurture interdisciplinary talent, promote the translation of scientific and technological achievements, and support industrial development.

The problem setting of the AFAC Competition fully considered the actual application scenarios of the fintech industry, covering multiple hot areas such as medical health, fintech, and intelligent manufacturing, demonstrating the wide application potential of AI technology. It allows AI to move beyond "CHAT" (chat) and enter the practical application stage of "ACT" (service). The results of the competition will serve as an important reference for promoting scientific and technological innovation and development, providing momentum for the progress of the future technology industry.

The Deepfake Competition focuses on deepfake identification technology, encouraging contestants to explore more advanced attack and defense techniques through the open access to massive datasets, enhancing the entire industry's awareness of deepfake technology prevention. The successful holding of the competition will accelerate the development of deepfake identification technology research, contributing to the construction of a more secure and reliable network environment.

The successful holding of the Bund Finance Summit AI Innovation Competition not only provides a platform for showcasing excellent talent but also offers new perspectives on promoting scientific and technological innovation and development. It is believed that the Bund Finance Summit will continue to play its leading role in the field of science and technology in the future, attracting more outstanding talents and enterprises to participate and jointly create a better future.

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