File:The number of papers published per month in the arXiv categories of AI and ML are growing exponentially as of 2023.webp
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From the study "Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network"
Summary[edit]
| Description |
English: "The doubling rate of papers per month is roughly 23 months, which might lead to problems for publishing in these fields, at some point. The categories are cs.AI, cs.LG, cs.NE and stat.ML." |
| Date | |
| Source | https://www.nature.com/articles/s42256-023-00735-0 |
| Author | Authors of the study: Mario Krenn, Lorenzo Buffoni, Bruno Coutinho, Sagi Eppel, Jacob Gates Foster, Andrew Gritsevskiy, Harlin Lee, Yichao Lu, João P. Moutinho, Nima Sanjabi, Rishi Sonthalia, Ngoc Mai Tran, Francisco Valente, Yangxinyu Xie, Rose Yu & Michael Kopp |
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 23:33, 22 December 2023 | | 1,057 × 662 (38 KB) | Prototyperspective (talk | contribs) | Uploaded a work by Authors of the study: Mario Krenn, Lorenzo Buffoni, Bruno Coutinho, Sagi Eppel, Jacob Gates Foster, Andrew Gritsevskiy, Harlin Lee, Yichao Lu, João P. Moutinho, Nima Sanjabi, Rishi Sonthalia, Ngoc Mai Tran, Francisco Valente, Yangxinyu Xie, Rose Yu & Michael Kopp from https://www.nature.com/articles/s42256-023-00735-0 with UploadWizard |
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