缩小人工智能与机器人技术之间的差距

Tetsuya Ogata
{"title":"缩小人工智能与机器人技术之间的差距","authors":"Tetsuya Ogata","doi":"10.1038/s44287-024-00079-w","DOIUrl":null,"url":null,"abstract":"Recent advancements in generative AI require multimodal information processing that incorporates images, videos and audio. This shift underscores the importance of integrating AI with robotics to address challenges such as Moravec’s paradox.","PeriodicalId":501701,"journal":{"name":"Nature Reviews Electrical Engineering","volume":"1 8","pages":"491-492"},"PeriodicalIF":0.0000,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Bridging the gap between AI and robotics\",\"authors\":\"Tetsuya Ogata\",\"doi\":\"10.1038/s44287-024-00079-w\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recent advancements in generative AI require multimodal information processing that incorporates images, videos and audio. This shift underscores the importance of integrating AI with robotics to address challenges such as Moravec’s paradox.\",\"PeriodicalId\":501701,\"journal\":{\"name\":\"Nature Reviews Electrical Engineering\",\"volume\":\"1 8\",\"pages\":\"491-492\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature Reviews Electrical Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.nature.com/articles/s44287-024-00079-w\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature Reviews Electrical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://www.nature.com/articles/s44287-024-00079-w","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

生成式人工智能的最新进展需要结合图像、视频和音频的多模态信息处理。这一转变凸显了将人工智能与机器人技术相结合以应对莫拉维克悖论等挑战的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Bridging the gap between AI and robotics
Recent advancements in generative AI require multimodal information processing that incorporates images, videos and audio. This shift underscores the importance of integrating AI with robotics to address challenges such as Moravec’s paradox.
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
自引率
0.00%
发文量
0
期刊最新文献
The future of 2D spintronics Spintronics for ultra-low-power circuits and systems Spin-transfer torque magnetoresistive random access memory technology status and future directions Perpendicularly magnetized materials for energy-efficient orbitronics Spintronic neural systems
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1