Chips for Artificial Intelligence: Companies are racing to develop hardware that more directly empowers deep learning.
The article discusses research on computer hardware that can aid deep learning for artificial intelligence (AI). Topics include the development of deep neural networks, research on the improvement of graphics-processing units (GPUs), and the development of neuromorphic hardware. Developments in chip...
| Publicado en: | Communications of the ACM Vol. 61; no. 4; pp. 15 - 18 |
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| Formato: | Artículo |
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Association for Computing Machinery
Apr2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=128730421&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 128730421 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00010782 ACM jtl: Communications of the ACM issn: 00010782 maglogo: N pubinfo: dt: Apr2018 vid: 61 iid: 4 pid: 68 pub: Association for Computing Machinery artinfo: ui: 128730421 10.1145/3185523 ppf: 15 ppct: 3 formats: tig: atl: Chips for Artificial Intelligence: Companies are racing to develop hardware that more directly empowers deep learning. aug: au: Monroe, Don su: Computer architecture Deep learning Artificial neural networks Graphics processing units Integrated circuits sug: subj: Computer architecture Deep learning Artificial neural networks Graphics processing units Integrated circuits ab: The article discusses research on computer hardware that can aid deep learning for artificial intelligence (AI). Topics include the development of deep neural networks, research on the improvement of graphics-processing units (GPUs), and the development of neuromorphic hardware. Developments in chip technology related to customization are addressed. pubtype: Periodical doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2018 holdings: @attributes: islocal: N |
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