AI for Science AI for Science is becoming the trend of contemporary science, widely used in many scientific research fields, showing great potential to improve scientific research efficiency, change scientific research paradigms, and accelerate scientific discovery.

At the Zhongguancun Forum, Li Xinyu, vice president of the Beijing Institute of Scientific Wisdom, said in an interview with a reporter from Guangming.com that the development of AI for Science has broken three boundaries, that is, breaking the boundaries of disciplines, theories and experiments, and industries and academia.

Li Xinyu, vice president of Beijing Institute of Science and Wisdom

AI for Science is very different from traditional artificial intelligence, and AI for Science can greatly improve the ability of scientific discovery and scientific and technological output, thereby improving productivity. "AI for Science brings great potential for scientific research and innovation breakthroughs." Li Xinyu said, "The emergence of this potential is conducive to opening up the upstream and downstream, opening up the industrial chain, and promoting the coordination of all parties, which is the 'platform' model." On this basis, our scientific research results can be translated into industrial applications more quickly. ”

With the help of AI for Science, the efficiency of scientific research tools has also been significantly improved, such as Science Navigator, an AI-assisted literature retrieval and research tool developed by the Beijing Institute of Scientific Intelligence, which can provide scientists with interdisciplinary knowledge support, which is several times more efficient than traditional tools.

Li Xinyu introduced that the traditional scientific literature research method relies on keyword retrieval, which needs to accurately translate scientific research questions into search conditions, which is time-consuming and labor-intensive. The combination of AI technology and massive literature databases can quickly retrieve relevant scientific research literature, and highly condense and summarize it to ensure that each answer is supported by a paper. This increase in efficiency not only optimizes the research process, but also opens up more possibilities for interdisciplinary research.

"I can ask it questions at any time, no matter what the field is, and I can get quick answers." Li Xinyu said, "This efficiency improvement not only frees up the time of scientific researchers, but also opens up greater imagination space for scientific research." ”

Artificial intelligence is accelerating technological advancement. It is foreseeable that AI for Science will empower thousands of industries and bring profound changes to energy, materials, chemicals, biomedicine and other fields. For example, in the field of industrial software, the introduction of AI technology could lead to new tools that are hundreds of times more efficient.

"AI is not only a technological innovation, but also a historic window period." Li Xinyu said that this window period provides an unprecedented opportunity for the shortcomings in the field of scientific research and "corner overtaking". (Guangming Network reporter Xie Yun)

Source: Bright.com