{"title":"采访mark Girolami","authors":"N. Smith","doi":"10.1049/et.2021.1120","DOIUrl":null,"url":null,"abstract":"Newly appointed chief scientist at the Alan Turing Institute in central London, Mark Girolami discusses why artificial intelligence has become 'big news' and how data-centric engineering is at its core. \"ARTIFICIAL intelligence is very much an umbrella term,\" says Mark Girolami. \"When we say AI, what we're really describing is a whole load of technologies that are characterised by three components at their core: data, computing and algorithms.\" Girolami, who has taken up the post of the Alan Turing Institute's first chief scientist, says that while there are plenty of people out there crossing over into philosophy and neural sciences \"solving intelligence\", his approach to AI is based on these three interrelated parameters. A University of Cambridge academic, he also holds the Royal Academy of Engineering research chair in data-centric engineering. The two positions \"feed off each other\", he says.","PeriodicalId":11578,"journal":{"name":"Engineering & Technology","volume":"41 1","pages":"62-65"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Interview mark Girolami\",\"authors\":\"N. Smith\",\"doi\":\"10.1049/et.2021.1120\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Newly appointed chief scientist at the Alan Turing Institute in central London, Mark Girolami discusses why artificial intelligence has become 'big news' and how data-centric engineering is at its core. \\\"ARTIFICIAL intelligence is very much an umbrella term,\\\" says Mark Girolami. \\\"When we say AI, what we're really describing is a whole load of technologies that are characterised by three components at their core: data, computing and algorithms.\\\" Girolami, who has taken up the post of the Alan Turing Institute's first chief scientist, says that while there are plenty of people out there crossing over into philosophy and neural sciences \\\"solving intelligence\\\", his approach to AI is based on these three interrelated parameters. A University of Cambridge academic, he also holds the Royal Academy of Engineering research chair in data-centric engineering. The two positions \\\"feed off each other\\\", he says.\",\"PeriodicalId\":11578,\"journal\":{\"name\":\"Engineering & Technology\",\"volume\":\"41 1\",\"pages\":\"62-65\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Engineering & Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1049/et.2021.1120\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Engineering & Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1049/et.2021.1120","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Newly appointed chief scientist at the Alan Turing Institute in central London, Mark Girolami discusses why artificial intelligence has become 'big news' and how data-centric engineering is at its core. "ARTIFICIAL intelligence is very much an umbrella term," says Mark Girolami. "When we say AI, what we're really describing is a whole load of technologies that are characterised by three components at their core: data, computing and algorithms." Girolami, who has taken up the post of the Alan Turing Institute's first chief scientist, says that while there are plenty of people out there crossing over into philosophy and neural sciences "solving intelligence", his approach to AI is based on these three interrelated parameters. A University of Cambridge academic, he also holds the Royal Academy of Engineering research chair in data-centric engineering. The two positions "feed off each other", he says.