{"title":"人工智能与计算科学之间的少有人走的路","authors":"Petros Koumoutsakos","doi":"10.1038/s42254-024-00726-z","DOIUrl":null,"url":null,"abstract":"Computational science and artificial intelligence have been drivers and benefactors of advances in algorithms and hardware, each in different ways, and originally with different targets. Petros Koumoutsakos argues that the intellectual space between these two fields is home to exciting opportunities for scientific discovery. Petros Koumoutsakos argues that the intellectual space between AI and computational science is home to exciting opportunities for scientific discovery.","PeriodicalId":19024,"journal":{"name":"Nature Reviews Physics","volume":"6 6","pages":"342-344"},"PeriodicalIF":44.8000,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"On roads less travelled between AI and computational science\",\"authors\":\"Petros Koumoutsakos\",\"doi\":\"10.1038/s42254-024-00726-z\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Computational science and artificial intelligence have been drivers and benefactors of advances in algorithms and hardware, each in different ways, and originally with different targets. Petros Koumoutsakos argues that the intellectual space between these two fields is home to exciting opportunities for scientific discovery. Petros Koumoutsakos argues that the intellectual space between AI and computational science is home to exciting opportunities for scientific discovery.\",\"PeriodicalId\":19024,\"journal\":{\"name\":\"Nature Reviews Physics\",\"volume\":\"6 6\",\"pages\":\"342-344\"},\"PeriodicalIF\":44.8000,\"publicationDate\":\"2024-05-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature Reviews Physics\",\"FirstCategoryId\":\"101\",\"ListUrlMain\":\"https://www.nature.com/articles/s42254-024-00726-z\",\"RegionNum\":1,\"RegionCategory\":\"物理与天体物理\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PHYSICS, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature Reviews Physics","FirstCategoryId":"101","ListUrlMain":"https://www.nature.com/articles/s42254-024-00726-z","RegionNum":1,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PHYSICS, APPLIED","Score":null,"Total":0}
On roads less travelled between AI and computational science
Computational science and artificial intelligence have been drivers and benefactors of advances in algorithms and hardware, each in different ways, and originally with different targets. Petros Koumoutsakos argues that the intellectual space between these two fields is home to exciting opportunities for scientific discovery. Petros Koumoutsakos argues that the intellectual space between AI and computational science is home to exciting opportunities for scientific discovery.
期刊介绍:
Nature Reviews Physics is an online-only reviews journal, part of the Nature Reviews portfolio of journals. It publishes high-quality technical reference, review, and commentary articles in all areas of fundamental and applied physics. The journal offers a range of content types, including Reviews, Perspectives, Roadmaps, Technical Reviews, Expert Recommendations, Comments, Editorials, Research Highlights, Features, and News & Views, which cover significant advances in the field and topical issues. Nature Reviews Physics is published monthly from January 2019 and does not have external, academic editors. Instead, all editorial decisions are made by a dedicated team of full-time professional editors.