{"title":"Artificial Intelligence in New Zealand: applications and innovation.","authors":"Bing Xue, Richard Green, Mengjie Zhang","doi":"10.1080/03036758.2023.2170165","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":49984,"journal":{"name":"Journal of the Royal Society of New Zealand","volume":"53 1","pages":"1-5"},"PeriodicalIF":2.1000,"publicationDate":"2023-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11459728/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the Royal Society of New Zealand","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1080/03036758.2023.2170165","RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
期刊介绍:
Aims: The Journal of the Royal Society of New Zealand reflects the role of Royal Society Te Aparangi in fostering research and debate across natural sciences, social sciences, and the humanities in New Zealand/Aotearoa and the surrounding Pacific. Research published in Journal of the Royal Society of New Zealand advances scientific knowledge, informs government policy, public awareness and broader society, and is read by researchers worldwide.