At the 2025 International Congress of Basic Science (ICBS) in Beijing, leading scientists and scholars gathered to explore the frontiers of basic science. Among them was Wu Rongling, deputy head of the Beijing Institute of Mathematical Sciences and Applications (BIMSA), who shared his vision on the integral role of mathematics in the future of artificial intelligence (AI).
Mathematics: The Strategic Imperative in AI
Wu emphasized that for China, mastering mathematics is not just an academic pursuit but a strategic necessity in the global AI race.
“Only by mastering mathematics ourselves can we develop our own AI frameworks. Applied math is critical in the field of AI—we cannot avoid this issue,” Wu stated.
He highlighted that the complex challenges of the real world require advanced mathematical tools, moving beyond the basic algorithms currently in use.
An Opportunity Amid Global Shifts
The shifting geopolitical landscape has positioned AI as a critical battleground. Wu pointed out that inconsistent policies on basic research elsewhere have opened doors for China.
“The fluctuating attitude towards basic research creates an opportunity for China,” he said.
By prioritizing mathematics, China can fill the void and take a leading role in AI development.
The Synergy of Math and AI
Wu’s work focuses on the symbiotic relationship between mathematics and AI.
“AI helps solve complex problems. Strong math research pushes AI forward. They are complementary,” he explained.
His team is pioneering methods to integrate advanced mathematics into AI’s foundational frameworks, reducing computational demands and enabling AI to tackle challenges like molecular modeling and disease prediction more efficiently.
Investing in Education for the Future
For Wu, the future success in science and AI hinges on education.
“Teach children AI skills and basics—especially math theory,” he urged. “Without this, they’ll lack judgment, becoming dependent on AI alone.”
He stressed the importance of young researchers understanding not just how to use algorithms but why they work. This deep understanding will empower the next generation to innovate and lead.
