Kavli Affiliate: Yi Zhou
| First 5 Authors: Weichen Dai, Yezeng Chen, Zijie Dai, Yubo Liu, Zhijie Huang
| Summary:
Artificial intelligence is gradually demonstrating its immense potential, and
increasing attention is being given to how AI can be harnessed to advance
scientific research. In this vision paper, we present our perspectives on how
AI can better assist scientific inquiry and explore corresponding technical
approach. We have proposed and open-sourced two large models of our KALE-LM
model series, KALE-LM-Chem(-1.5), which have achieved outstanding performance
in tasks related to the field of chemistry. We hope that our work serves as a
strong starting point, helping to realize more intelligent AI and promoting the
advancement of human science and technology, as well as societal development.
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