Top minds converge to discuss "AI+"

Ouyang Zheng, dean of Tsinghua Shenzhen International Graduate School, presided over the main forum, which brought together distinguished scientists.

Ouyang Zheng, dean of Tsinghua Shenzhen International Graduate School, presides over the keynote speech. File photo

Ouyang highlighted how the accumulation of human knowledge and the advent of supercomputing have propelled us into the AI era, prompting a re-evaluation of daily life, technological iteration, scientific research paradigms, and even human cognition and learning.

Fields Medal recipient Efim Zelmanov, a distinguished academician at both the Chinese Academy of Sciences (CAS) and the National Academy of Sciences in the U.S., delivered a keynote on “Artificial Intelligence and Mathematics Research.” He offered a unique perspective, emphasizing the integral role of mathematics, particularly vectors and matrices, as the foundation of neural networks.

Fields Medal recipient Efim Zelmanov delivers a keynote speech on “Artificial Intelligence and Mathematics Research”. Photo from sznews.com

Peking University Shenzhen Graduate School chancellor and CAS academician Zhang Jin spoke on “AI Innovating the Research Paradigm of Materials,” discussing how AI is transforming materials science research by addressing data standardization and expanding research methodologies.

Xue Lan, senior professor of humanities at Tsinghua University and dean of the Schwarzman College, addressed “Urban Innovation and Development and AI Security Governance.” Xue underscored the need for balanced AI governance to navigate the challenges of rapid urban development and traditional governance models.

Joachim Hornegger, president of Friedrich-Alexander-Universität Erlangen-Nürnberg and member of the German National Academy of Science and Engineering, spoke on “AI from Research to Sustainable and Innovative Practices in the Medical Industry,” envisioning a future where AI enhances personalized medicine.

Lionel Ni Ming-shuan, founding president of the Hong Kong University of Science and Technology (Guangzhou) and fellow of the Hong Kong Academy of Engineering Sciences, focused on “Deepening Education Reform—AI Driven Personalized Learning Path.” Ni advocated for strategic educational shifts to integrate AI, promote personalized learning, and foster innovation while mitigating risks.