深度学习和生成式人工智能的起点：人工神经网络大师--麦库洛克、皮茨和罗森布拉特

IF 2.2 4区计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS IT Professional Pub Date : 2024-06-26 DOI:10.1109/mitp.2024.3404229

George Strawn

{"title":"深度学习和生成式人工智能的起点：人工神经网络大师--麦库洛克、皮茨和罗森布拉特","authors":"George Strawn","doi":"10.1109/mitp.2024.3404229","DOIUrl":null,"url":null,"abstract":"Deep learning and generative artificial intelligence originated in 1943, which preceded our age of digital computers. These origins focused on understanding the functioning of the brain and creating an artificial model of it. The three masterminds who initiated this now very important strand of IT technology are highlighted and the elements of their inventions are outlined.","PeriodicalId":49045,"journal":{"name":"IT Professional","volume":"14 1","pages":""},"PeriodicalIF":2.2000,"publicationDate":"2024-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Where Deep Learning and Generative AI Started: Masterminds of Artificial Neural Networks—McCulloch, Pitts, and Rosenblatt\",\"authors\":\"George Strawn\",\"doi\":\"10.1109/mitp.2024.3404229\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Deep learning and generative artificial intelligence originated in 1943, which preceded our age of digital computers. These origins focused on understanding the functioning of the brain and creating an artificial model of it. The three masterminds who initiated this now very important strand of IT technology are highlighted and the elements of their inventions are outlined.\",\"PeriodicalId\":49045,\"journal\":{\"name\":\"IT Professional\",\"volume\":\"14 1\",\"pages\":\"\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2024-06-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IT Professional\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1109/mitp.2024.3404229\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IT Professional","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1109/mitp.2024.3404229","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}

引用次数: 0

摘要

深度学习和生成式人工智能起源于 1943 年，早于我们的数字计算机时代。这些起源的重点是了解大脑的功能，并创建大脑的人工模型。本文重点介绍了开创这一当今非常重要的 IT 技术领域的三位大师，并概述了他们的发明要素。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

Where Deep Learning and Generative AI Started: Masterminds of Artificial Neural Networks—McCulloch, Pitts, and Rosenblatt

Deep learning and generative artificial intelligence originated in 1943, which preceded our age of digital computers. These origins focused on understanding the functioning of the brain and creating an artificial model of it. The three masterminds who initiated this now very important strand of IT technology are highlighted and the elements of their inventions are outlined.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

IT Professional COMPUTER SCIENCE, INFORMATION SYSTEMS-COMPUTER SCIENCE, SOFTWARE ENGINEERING

CiteScore

5.00

自引率

0.00%

发文量

111

审稿时长

>12 weeks

期刊介绍： IT Professional is a technical magazine of the IEEE Computer Society. It publishes peer-reviewed articles, columns and departments written for and by IT practitioners and researchers covering: practical aspects of emerging and leading-edge digital technologies, original ideas and guidance for IT applications, and novel IT solutions for the enterprise. IT Professional’s goal is to inform the broad spectrum of IT executives, IT project managers, IT researchers, and IT application developers from industry, government, and academia.