Flexible neuromorphic transistors for neuromorphic computing and perception application
Abstract Emulating brain functionality with neuromorphic devices is an emerging field of research. It is extensively considered as the first step to overcome the limitations of conventional von Neumann systems and build artificial intelligent systems. Currently, most neuromorphic transistors are man...
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| Autor*in: |
Ke, Shuo [verfasserIn] Zhu, Yixin [verfasserIn] Fu, Chuanyu [verfasserIn] Mao, Huiwu [verfasserIn] Shi, Kailu [verfasserIn] Qiao, Lesheng [verfasserIn] Wan, Qing [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2024 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s) 2024 |
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| Übergeordnetes Werk: |
Enthalten in: Moore and more - Springer Nature Singapore, 2024, 1(2024), 1 vom: 29. Sept. |
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| Übergeordnetes Werk: |
volume:1 ; year:2024 ; number:1 ; day:29 ; month:09 |
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10.1007/s44275-024-00009-w |
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SPR057518173 |
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| 520 | |a Abstract Emulating brain functionality with neuromorphic devices is an emerging field of research. It is extensively considered as the first step to overcome the limitations of conventional von Neumann systems and build artificial intelligent systems. Currently, most neuromorphic transistors are manufactured on rigid substrates, which are difficult to bend and cannot closely fit soft human skin, limiting their appliction scope. The emergence and evolution of flexible electronic devices address a plethora of application and scenario demands. Particularly, the introduction of flexible neuromorphic transistors injects fresh vitality into neuromorphic computing and perception, symbolizing a significant step towards overcoming the limitations of conventional computational models and fostering the development of more intelligent wearable devices. Herein, the recent developments in felxible neuromorphic transistors are summarized and their applications in neuromorphic computing and artificial perception systems are highlighted. The future prospects and challenges of felxible neuromorphic transistors are also discussed. We believe developments in felxible neuromorphic transistors will shed light on future advances in wearable artificial intelligent systems, humanoid robotics and neural repair technology. | ||
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10.1007/s44275-024-00009-w doi (DE-627)SPR057518173 (SPR)s44275-024-00009-w-e DE-627 ger DE-627 rakwb eng Ke, Shuo verfasserin aut Flexible neuromorphic transistors for neuromorphic computing and perception application 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Abstract Emulating brain functionality with neuromorphic devices is an emerging field of research. It is extensively considered as the first step to overcome the limitations of conventional von Neumann systems and build artificial intelligent systems. Currently, most neuromorphic transistors are manufactured on rigid substrates, which are difficult to bend and cannot closely fit soft human skin, limiting their appliction scope. The emergence and evolution of flexible electronic devices address a plethora of application and scenario demands. Particularly, the introduction of flexible neuromorphic transistors injects fresh vitality into neuromorphic computing and perception, symbolizing a significant step towards overcoming the limitations of conventional computational models and fostering the development of more intelligent wearable devices. Herein, the recent developments in felxible neuromorphic transistors are summarized and their applications in neuromorphic computing and artificial perception systems are highlighted. The future prospects and challenges of felxible neuromorphic transistors are also discussed. We believe developments in felxible neuromorphic transistors will shed light on future advances in wearable artificial intelligent systems, humanoid robotics and neural repair technology. Neuromorphic device (dpeaa)DE-He213 Flexible neuromorphic transistor (dpeaa)DE-He213 Neuromorphic computing (dpeaa)DE-He213 Artificial perception system (dpeaa)DE-He213 Zhu, Yixin verfasserin aut Fu, Chuanyu verfasserin aut Mao, Huiwu verfasserin aut Shi, Kailu verfasserin aut Qiao, Lesheng verfasserin aut Wan, Qing verfasserin (orcid)0000-0003-4588-7592 aut Enthalten in Moore and more Springer Nature Singapore, 2024 1(2024), 1 vom: 29. Sept. Online-Ressource (DE-627)1891044583 (DE-600)3189115-9 3004-8680 nnns volume:1 year:2024 number:1 day:29 month:09 https://dx.doi.org/10.1007/s44275-024-00009-w X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER AR 1 2024 1 29 09 |
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10.1007/s44275-024-00009-w doi (DE-627)SPR057518173 (SPR)s44275-024-00009-w-e DE-627 ger DE-627 rakwb eng Ke, Shuo verfasserin aut Flexible neuromorphic transistors for neuromorphic computing and perception application 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Abstract Emulating brain functionality with neuromorphic devices is an emerging field of research. It is extensively considered as the first step to overcome the limitations of conventional von Neumann systems and build artificial intelligent systems. Currently, most neuromorphic transistors are manufactured on rigid substrates, which are difficult to bend and cannot closely fit soft human skin, limiting their appliction scope. The emergence and evolution of flexible electronic devices address a plethora of application and scenario demands. Particularly, the introduction of flexible neuromorphic transistors injects fresh vitality into neuromorphic computing and perception, symbolizing a significant step towards overcoming the limitations of conventional computational models and fostering the development of more intelligent wearable devices. Herein, the recent developments in felxible neuromorphic transistors are summarized and their applications in neuromorphic computing and artificial perception systems are highlighted. The future prospects and challenges of felxible neuromorphic transistors are also discussed. We believe developments in felxible neuromorphic transistors will shed light on future advances in wearable artificial intelligent systems, humanoid robotics and neural repair technology. Neuromorphic device (dpeaa)DE-He213 Flexible neuromorphic transistor (dpeaa)DE-He213 Neuromorphic computing (dpeaa)DE-He213 Artificial perception system (dpeaa)DE-He213 Zhu, Yixin verfasserin aut Fu, Chuanyu verfasserin aut Mao, Huiwu verfasserin aut Shi, Kailu verfasserin aut Qiao, Lesheng verfasserin aut Wan, Qing verfasserin (orcid)0000-0003-4588-7592 aut Enthalten in Moore and more Springer Nature Singapore, 2024 1(2024), 1 vom: 29. Sept. Online-Ressource (DE-627)1891044583 (DE-600)3189115-9 3004-8680 nnns volume:1 year:2024 number:1 day:29 month:09 https://dx.doi.org/10.1007/s44275-024-00009-w X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER AR 1 2024 1 29 09 |
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10.1007/s44275-024-00009-w doi (DE-627)SPR057518173 (SPR)s44275-024-00009-w-e DE-627 ger DE-627 rakwb eng Ke, Shuo verfasserin aut Flexible neuromorphic transistors for neuromorphic computing and perception application 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Abstract Emulating brain functionality with neuromorphic devices is an emerging field of research. It is extensively considered as the first step to overcome the limitations of conventional von Neumann systems and build artificial intelligent systems. Currently, most neuromorphic transistors are manufactured on rigid substrates, which are difficult to bend and cannot closely fit soft human skin, limiting their appliction scope. The emergence and evolution of flexible electronic devices address a plethora of application and scenario demands. Particularly, the introduction of flexible neuromorphic transistors injects fresh vitality into neuromorphic computing and perception, symbolizing a significant step towards overcoming the limitations of conventional computational models and fostering the development of more intelligent wearable devices. Herein, the recent developments in felxible neuromorphic transistors are summarized and their applications in neuromorphic computing and artificial perception systems are highlighted. The future prospects and challenges of felxible neuromorphic transistors are also discussed. We believe developments in felxible neuromorphic transistors will shed light on future advances in wearable artificial intelligent systems, humanoid robotics and neural repair technology. Neuromorphic device (dpeaa)DE-He213 Flexible neuromorphic transistor (dpeaa)DE-He213 Neuromorphic computing (dpeaa)DE-He213 Artificial perception system (dpeaa)DE-He213 Zhu, Yixin verfasserin aut Fu, Chuanyu verfasserin aut Mao, Huiwu verfasserin aut Shi, Kailu verfasserin aut Qiao, Lesheng verfasserin aut Wan, Qing verfasserin (orcid)0000-0003-4588-7592 aut Enthalten in Moore and more Springer Nature Singapore, 2024 1(2024), 1 vom: 29. Sept. Online-Ressource (DE-627)1891044583 (DE-600)3189115-9 3004-8680 nnns volume:1 year:2024 number:1 day:29 month:09 https://dx.doi.org/10.1007/s44275-024-00009-w X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER AR 1 2024 1 29 09 |
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10.1007/s44275-024-00009-w doi (DE-627)SPR057518173 (SPR)s44275-024-00009-w-e DE-627 ger DE-627 rakwb eng Ke, Shuo verfasserin aut Flexible neuromorphic transistors for neuromorphic computing and perception application 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Abstract Emulating brain functionality with neuromorphic devices is an emerging field of research. It is extensively considered as the first step to overcome the limitations of conventional von Neumann systems and build artificial intelligent systems. Currently, most neuromorphic transistors are manufactured on rigid substrates, which are difficult to bend and cannot closely fit soft human skin, limiting their appliction scope. The emergence and evolution of flexible electronic devices address a plethora of application and scenario demands. Particularly, the introduction of flexible neuromorphic transistors injects fresh vitality into neuromorphic computing and perception, symbolizing a significant step towards overcoming the limitations of conventional computational models and fostering the development of more intelligent wearable devices. Herein, the recent developments in felxible neuromorphic transistors are summarized and their applications in neuromorphic computing and artificial perception systems are highlighted. The future prospects and challenges of felxible neuromorphic transistors are also discussed. We believe developments in felxible neuromorphic transistors will shed light on future advances in wearable artificial intelligent systems, humanoid robotics and neural repair technology. Neuromorphic device (dpeaa)DE-He213 Flexible neuromorphic transistor (dpeaa)DE-He213 Neuromorphic computing (dpeaa)DE-He213 Artificial perception system (dpeaa)DE-He213 Zhu, Yixin verfasserin aut Fu, Chuanyu verfasserin aut Mao, Huiwu verfasserin aut Shi, Kailu verfasserin aut Qiao, Lesheng verfasserin aut Wan, Qing verfasserin (orcid)0000-0003-4588-7592 aut Enthalten in Moore and more Springer Nature Singapore, 2024 1(2024), 1 vom: 29. Sept. Online-Ressource (DE-627)1891044583 (DE-600)3189115-9 3004-8680 nnns volume:1 year:2024 number:1 day:29 month:09 https://dx.doi.org/10.1007/s44275-024-00009-w X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER AR 1 2024 1 29 09 |
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10.1007/s44275-024-00009-w doi (DE-627)SPR057518173 (SPR)s44275-024-00009-w-e DE-627 ger DE-627 rakwb eng Ke, Shuo verfasserin aut Flexible neuromorphic transistors for neuromorphic computing and perception application 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Abstract Emulating brain functionality with neuromorphic devices is an emerging field of research. It is extensively considered as the first step to overcome the limitations of conventional von Neumann systems and build artificial intelligent systems. Currently, most neuromorphic transistors are manufactured on rigid substrates, which are difficult to bend and cannot closely fit soft human skin, limiting their appliction scope. The emergence and evolution of flexible electronic devices address a plethora of application and scenario demands. Particularly, the introduction of flexible neuromorphic transistors injects fresh vitality into neuromorphic computing and perception, symbolizing a significant step towards overcoming the limitations of conventional computational models and fostering the development of more intelligent wearable devices. Herein, the recent developments in felxible neuromorphic transistors are summarized and their applications in neuromorphic computing and artificial perception systems are highlighted. The future prospects and challenges of felxible neuromorphic transistors are also discussed. We believe developments in felxible neuromorphic transistors will shed light on future advances in wearable artificial intelligent systems, humanoid robotics and neural repair technology. Neuromorphic device (dpeaa)DE-He213 Flexible neuromorphic transistor (dpeaa)DE-He213 Neuromorphic computing (dpeaa)DE-He213 Artificial perception system (dpeaa)DE-He213 Zhu, Yixin verfasserin aut Fu, Chuanyu verfasserin aut Mao, Huiwu verfasserin aut Shi, Kailu verfasserin aut Qiao, Lesheng verfasserin aut Wan, Qing verfasserin (orcid)0000-0003-4588-7592 aut Enthalten in Moore and more Springer Nature Singapore, 2024 1(2024), 1 vom: 29. Sept. Online-Ressource (DE-627)1891044583 (DE-600)3189115-9 3004-8680 nnns volume:1 year:2024 number:1 day:29 month:09 https://dx.doi.org/10.1007/s44275-024-00009-w X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER AR 1 2024 1 29 09 |
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Abstract Emulating brain functionality with neuromorphic devices is an emerging field of research. It is extensively considered as the first step to overcome the limitations of conventional von Neumann systems and build artificial intelligent systems. Currently, most neuromorphic transistors are manufactured on rigid substrates, which are difficult to bend and cannot closely fit soft human skin, limiting their appliction scope. The emergence and evolution of flexible electronic devices address a plethora of application and scenario demands. Particularly, the introduction of flexible neuromorphic transistors injects fresh vitality into neuromorphic computing and perception, symbolizing a significant step towards overcoming the limitations of conventional computational models and fostering the development of more intelligent wearable devices. Herein, the recent developments in felxible neuromorphic transistors are summarized and their applications in neuromorphic computing and artificial perception systems are highlighted. The future prospects and challenges of felxible neuromorphic transistors are also discussed. We believe developments in felxible neuromorphic transistors will shed light on future advances in wearable artificial intelligent systems, humanoid robotics and neural repair technology. © The Author(s) 2024 |
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Abstract Emulating brain functionality with neuromorphic devices is an emerging field of research. It is extensively considered as the first step to overcome the limitations of conventional von Neumann systems and build artificial intelligent systems. Currently, most neuromorphic transistors are manufactured on rigid substrates, which are difficult to bend and cannot closely fit soft human skin, limiting their appliction scope. The emergence and evolution of flexible electronic devices address a plethora of application and scenario demands. Particularly, the introduction of flexible neuromorphic transistors injects fresh vitality into neuromorphic computing and perception, symbolizing a significant step towards overcoming the limitations of conventional computational models and fostering the development of more intelligent wearable devices. Herein, the recent developments in felxible neuromorphic transistors are summarized and their applications in neuromorphic computing and artificial perception systems are highlighted. The future prospects and challenges of felxible neuromorphic transistors are also discussed. We believe developments in felxible neuromorphic transistors will shed light on future advances in wearable artificial intelligent systems, humanoid robotics and neural repair technology. © The Author(s) 2024 |
| abstract_unstemmed |
Abstract Emulating brain functionality with neuromorphic devices is an emerging field of research. It is extensively considered as the first step to overcome the limitations of conventional von Neumann systems and build artificial intelligent systems. Currently, most neuromorphic transistors are manufactured on rigid substrates, which are difficult to bend and cannot closely fit soft human skin, limiting their appliction scope. The emergence and evolution of flexible electronic devices address a plethora of application and scenario demands. Particularly, the introduction of flexible neuromorphic transistors injects fresh vitality into neuromorphic computing and perception, symbolizing a significant step towards overcoming the limitations of conventional computational models and fostering the development of more intelligent wearable devices. Herein, the recent developments in felxible neuromorphic transistors are summarized and their applications in neuromorphic computing and artificial perception systems are highlighted. The future prospects and challenges of felxible neuromorphic transistors are also discussed. We believe developments in felxible neuromorphic transistors will shed light on future advances in wearable artificial intelligent systems, humanoid robotics and neural repair technology. © The Author(s) 2024 |
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Flexible neuromorphic transistors for neuromorphic computing and perception application |
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Zhu, Yixin Fu, Chuanyu Mao, Huiwu Shi, Kailu Qiao, Lesheng Wan, Qing |
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Zhu, Yixin Fu, Chuanyu Mao, Huiwu Shi, Kailu Qiao, Lesheng Wan, Qing |
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10.1007/s44275-024-00009-w |
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2024-09-29T04:48:19.020Z |
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