Recently, the 801st academic symposium of the Xiangshan Science Conference, centered on the theme "A New Ecosystem for Intelligent Scientific Research: Establishing Standards for Collaborative Symbiosis," convened in Beijing. Experts in attendance highlighted that artificial intelligence (AI) is propelling a paradigm shift in scientific research. However, the absence of unified standards across different platforms is impeding the widespread adoption of intelligent scientific research platforms.

The experts urged for the swift development of a national standard system tailored for intelligent scientific research platforms. Such a system would offer a unified technical framework and regulatory basis, fostering the growth of intelligent scientific research. Leveraging AI and automation technologies, research and development efficiency in domains like batteries, photovoltaics, and catalytic materials has seen substantial enhancements. Additionally, the timeline for developing innovative drugs has been significantly condensed.

Nevertheless, in the realm of biomaterials research, characterized by its multi-step processes and lengthy verification cycles, AI-assisted R&D remains in its nascent stages. Presently, the construction of intelligent scientific research platforms grapples with challenges such as fragmented architectures, incompatible data formats, and non-standardized interfaces. To overcome these barriers and promote high-quality, orderly development, standardization is imperative.

Experts propose the formation of a national working group dedicated to standardizing intelligent scientific research platforms. This group would spearhead the creation and refinement of national standards, while also exploring innovative models for international collaboration. Together, these efforts aim to construct a cohesive ecosystem of rules for intelligent scientific research.