AI Incubator
Frontiers of Science: Academician Jin Shi Visits DABANC for Strategic Dialogue on the "AI for Science" Paradigm
On January 21, 2026, Academician Jin Shi, a member of the European Academy of Sciences and Dean at SJTU’s Institute of Natural Sciences, visited DABANC for a strategic dialogue on integrating frontier technologies with industrial capital. During the visit, he shared insights on "AI for Science," highlighting how AI algorithms are transforming drug discovery from trial-and-error to precision-based engineering. He emphasized the importance of an international innovation ecosystem, with future breakthroughs likely occurring at the intersection of Quantum Computing, AI Pharmaceuticals, and Advanced Materials. Both parties agreed on the need for flexible mechanisms to bridge academia and industry, strengthening DABANC's focus on empowering source innovation through computing infrastructure.
On January 21, 2026, Academician Jin Shi, Member of the European Academy of Sciences and Dean of the Institute of Natural Sciences at SJTU, visited DABANC headquarters. The visit facilitated a strategic dialogue on integrating frontier technology with industrial capital, featuring a keynote session on the commercialization of scientific research.
A leading authority in applied mathematics, Academician Jin shared insights into the evolving landscape of "AI for Science." Citing his team’s work on large-scale protein datasets, he illustrated how AI algorithms are shifting complex processes like drug discovery from traditional "trial-and-error" methods to precision-based "engineering design," significantly enhancing efficiency.
Regarding the commercialization of research, Academician Jin discussed the importance of building an international innovation ecosystem. He noted that future technological breakthroughs will likely emerge at the intersection of Quantum Computing, AI Pharmaceuticals, and Advanced Materials, where flexible mechanisms are essential to bridge the gap between academia and industry.
This dialogue reinforces DABANC’s thesis of empowering source innovation through computing infrastructure. Both parties reached a strong consensus on leveraging industrial resources to help hard-tech innovations navigate the "last mile" to market, reaffirming a shared focus on quantum science and interdisciplinary frontiers.
