The Association for Computing Machinery (ACM) has announced the launch of a new journal, ACM Transactions on AI for Science (TAIS), and is now accepting submissions. The journal seeks to publish research that demonstrates how scientific challenges can inspire advances in artificial intelligence, as well as how computational methods can facilitate scientific discoveries.
ACM Transactions on AI for Science aims to engage a diverse community of AI and machine learning researchers, alongside scientists and engineers from various disciplines. Its intended readership includes core AI specialists and researchers in areas such as physics, mathematics, and engineering.
Further details, including author guidelines and submission instructions, are available on the TAIS homepage.
The journal’s Co-Editors-in-Chief are Andrew B. Duncan (Imperial College London), Nick S. Jones (Imperial College London), and Siva Rajamanickam (Sandia National Laboratories). TAIS features 22 Associate Editors from countries including Canada, Denmark, South Africa, Switzerland, the United Kingdom, and the United States.
ACM currently publishes more than 70 peer-reviewed journals across computing and information technology disciplines. These journals represent a comprehensive archive of computing research, encompassing both emerging and established areas of study. ACM emphasizes rapid publication to minimize delays in sharing new research and ideas with the community.
Click here to read the original press release.
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