约翰·霍普菲尔德和杰弗里·辛顿简介:2024年诺贝尔物理学奖得主。

IF 9.1 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
James L McClelland
{"title":"约翰·霍普菲尔德和杰弗里·辛顿简介:2024年诺贝尔物理学奖得主。","authors":"James L McClelland","doi":"10.1073/pnas.2423094122","DOIUrl":null,"url":null,"abstract":"The 2024 Nobel Prize in Physics recognizes breakthroughs contributing to the emergence of a new understanding of the computations that underlie human intelligence, with profound implications for artificially intelligent systems. John Hopfield and Geoffrey Hinton played seminal roles in these breakthroughs. I begin by characterizing the scientific context in which the new understanding of intelligence began to arise. I then consider Hopfield's and Hinton's ideas and their centrality in the sciences of natural and artificial intelligence, while mentioning others who made major contributions. I conclude with a brief consideration of the current state of the fields these ideas have influenced and of the importance of governmental and scientific organizations in the past and future of these sciences.","PeriodicalId":20548,"journal":{"name":"Proceedings of the National Academy of Sciences of the United States of America","volume":"30 1","pages":"e2423094122"},"PeriodicalIF":9.1000,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Profile of John Hopfield and Geoffrey Hinton: 2024 Nobel laureates in physics.\",\"authors\":\"James L McClelland\",\"doi\":\"10.1073/pnas.2423094122\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The 2024 Nobel Prize in Physics recognizes breakthroughs contributing to the emergence of a new understanding of the computations that underlie human intelligence, with profound implications for artificially intelligent systems. John Hopfield and Geoffrey Hinton played seminal roles in these breakthroughs. I begin by characterizing the scientific context in which the new understanding of intelligence began to arise. I then consider Hopfield's and Hinton's ideas and their centrality in the sciences of natural and artificial intelligence, while mentioning others who made major contributions. I conclude with a brief consideration of the current state of the fields these ideas have influenced and of the importance of governmental and scientific organizations in the past and future of these sciences.\",\"PeriodicalId\":20548,\"journal\":{\"name\":\"Proceedings of the National Academy of Sciences of the United States of America\",\"volume\":\"30 1\",\"pages\":\"e2423094122\"},\"PeriodicalIF\":9.1000,\"publicationDate\":\"2025-04-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the National Academy of Sciences of the United States of America\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://doi.org/10.1073/pnas.2423094122\",\"RegionNum\":1,\"RegionCategory\":\"综合性期刊\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the National Academy of Sciences of the United States of America","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1073/pnas.2423094122","RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0

摘要

2024年诺贝尔物理学奖旨在表彰那些有助于对人类智能基础计算产生新理解的突破,这些突破对人工智能系统具有深远的影响。约翰·霍普菲尔德和杰弗里·辛顿在这些突破中发挥了重要作用。我首先描述了对智力的新理解开始出现的科学背景。然后,我考虑了Hopfield和Hinton的思想及其在自然和人工智能科学中的中心地位,同时提到了其他做出重大贡献的人。最后,我简要地考虑了这些思想所影响的领域的现状,以及政府和科学组织在这些科学的过去和未来中的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Profile of John Hopfield and Geoffrey Hinton: 2024 Nobel laureates in physics.
The 2024 Nobel Prize in Physics recognizes breakthroughs contributing to the emergence of a new understanding of the computations that underlie human intelligence, with profound implications for artificially intelligent systems. John Hopfield and Geoffrey Hinton played seminal roles in these breakthroughs. I begin by characterizing the scientific context in which the new understanding of intelligence began to arise. I then consider Hopfield's and Hinton's ideas and their centrality in the sciences of natural and artificial intelligence, while mentioning others who made major contributions. I conclude with a brief consideration of the current state of the fields these ideas have influenced and of the importance of governmental and scientific organizations in the past and future of these sciences.
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
CiteScore
19.00
自引率
0.90%
发文量
3575
审稿时长
2.5 months
期刊介绍: The Proceedings of the National Academy of Sciences (PNAS), a peer-reviewed journal of the National Academy of Sciences (NAS), serves as an authoritative source for high-impact, original research across the biological, physical, and social sciences. With a global scope, the journal welcomes submissions from researchers worldwide, making it an inclusive platform for advancing scientific knowledge.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信