AI Transforms Scientific Research: Innovations in Crop Breeding, Battery Design, and HIV Molecular Development
November 7, 2024The Tsinghua team has also created a comprehensive database of over 250,000 electrolyte molecular structures, along with software that allows for rapid property predictions and targeted design.
Moreover, Shanghai Jiao Tong University has partnered with Baidu AI Cloud to establish an AI-driven research platform, facilitating breakthroughs across multiple scientific fields.
The significance of AI in scientific research is further underscored by the 2024 Nobel Prizes in Physics and Chemistry, awarded to scientists working in AI-related fields.
Looking ahead, Andrew Chi-Chih Yao, a Turing Award winner, predicts a shift from narrow AI to general AI and emphasizes the importance of interdisciplinary collaboration in future developments.
An illustrative example of AI's impact is seen in HIV research, where an AI platform has dramatically reduced the time to generate new molecules from years to mere minutes, enhancing molecular design efficiency.
AI is revolutionizing scientific research by shifting from an experience-led approach to a data-driven paradigm, significantly enhancing efficiency and effectiveness.
Chinese scientists are increasingly leveraging AI technologies to accelerate research and development cycles while also reducing costs across various scientific disciplines.
For instance, Li Huihui from the Chinese Academy of Agricultural Sciences highlighted that AI algorithms can predict crop performance, which shortens breeding cycles and boosts efficiency in agricultural research.
The CAAS is at the forefront of this innovation, integrating AI technologies and forming interdisciplinary teams to enhance crop breeding efficiency.
AI-assisted genomic selection exemplifies this trend, enabling the rapid analysis of millions of plant genotypes for more precise breeding processes and better utilization of genetic resources.
In another application, researchers at Tsinghua University have developed an 'AI-designed lithium-ion battery electrolyte' approach, which significantly improves the design and development of advanced electrolytes.
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People's Daily Online
When AI joins forces with scientific research