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AI for Science: Scaling in AI for Scientific Discovery | AI for Science

ai4sciencecommunity.github.io · 674 words · saved by 1 readers

Our workshop is nonarchival, the accepted papers will be posted on our website. Our workshop calls for high-quality and cutting-edge paper submissions in the following two tracks: This track calls for 4-8 page paper (with unlimited references and appendices) of high-quality contributions from AI applications to all fields of scientific discovery, ranging from physics, biology, chemistry, earth science, environmental science, mechanical science, aerospace science, management science, agricultural science, material science, nuclear science etc. Appendix is optional, but reviewers are not required to read. Example topics include (but not limited to): This track solicits 4-8 page paper (with unlimited references and appendices) that highlights a perspective of a subject in the field of AI for Science. We especially welcome contributions that discuss the gaps between AI and Science. Example topics include (but not limited to): This track solicits 4-8 page paper (with unlimited references an

Call for Papers Our workshop is nonarchival, the accepted papers will be posted on our website. Our workshop calls for high-quality and cutting-edge paper submissions in the following two tracks: (A) Original Research Track This track calls for 4-8 page paper (with unlimited references and appendices) of high-quality contributions from AI applications to all fields of scientific discovery, ranging from physics, biology, chemistry, earth science, environmental science, mechanical science, aerospace science, management science, agricultural science, material science, nuclear science etc.…

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