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In-Sensor-Memory Computing for Post-Von Neumann Intelligence:A Perspective 认领 引用
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作者 Hongyu Tang Ninghai Yu +2 位作者 Pengsheng Min Ruiqian Guo Guoqi Zhang 《Nano-Micro Letters》 SCIE EI CAS CSCD 2026年第10期36-67,共32页
The rapid growth of artificial intelligence,ubiquitous sensing,and edge computing is exposing fundamental limitations of conventional von Neumann architectures,in which the physical separation of sensing,memory,and co... The rapid growth of artificial intelligence,ubiquitous sensing,and edge computing is exposing fundamental limitations of conventional von Neumann architectures,in which the physical separation of sensing,memory,and computation leads to excessive data movement,high energy consumption,and latency.As transistor scaling slows in the post-Moore era,architectural innovation has become essential to sustain progress in intelligent systems.In-sensor-memory computing(ISMC)addresses these challenges by co-locating perception,storage,and computation within unified device and system architectures,enabling in situ signal processing,mixed-signal computation,and event-driven intelligence at the data source.Recent advances in memristive and ferroelectric devices,low-dimensional and multifunctional materials,three-dimensional heterogeneous integration,and neuromorphic architectures have significantly expanded the functional scope of ISMC platforms.In parallel,the co-evolution of algorithms—including spiking neural networks,reservoir computing,and neuromorphic compilers—has facilitated the translation of device-level advantages into system-level performance.This perspective surveys the technological foundations,architectural trends,and emerging applications of ISMC,examines global industry-academia-research(IAR)collaboration,and outlines key challenges related to variability,reliability,scalability,and benchmarking.Collectively,ISMC is positioned as a post-von Neumann hardware paradigm for energy-efficient,distributed intelligence. 展开更多
关键词 In-sensor-memory computing(ISMC) Post-von Neumann intelligence Neuromorphic hardware Industry-academia-research(IAR)
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Correction:In-Sensor-Memory Computing for Post-Von Neumann Intelligence:A Perspective 认领 引用
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作者 Hongyu Tang Ninghai Yu +2 位作者 Pengsheng Min Ruiqian Guo Guoqi Zhang 《Nano-Micro Letters》 SCIE EI CAS CSCD 2026年第10期844-844,共1页
Correction to:Nano-Micro Lett.(2026)18:338 http://gffzzd3cc09b8251d45dfs99kb09kpkwbw6x6b.ffgz.tsg.suse.edu.cn/10.1007/s40820-026-02191-y e-ISSN 2150-5551 CN 31-2103/TB CORRECTION Cite as Nano-Micro Lett.(2026)18:369©The Author(s)2026 http://gffzzd3cc09b8251d45dfs99kb09kpkwbw6x6b.ffgz.tsg.suse.edu.cn/10.1007/s4082... Correction to:Nano-Micro Lett.(2026)18:338 http://gffzzd3cc09b8251d45dfs99kb09kpkwbw6x6b.ffgz.tsg.suse.edu.cn/10.1007/s40820-026-02191-y e-ISSN 2150-5551 CN 31-2103/TB CORRECTION Cite as Nano-Micro Lett.(2026)18:369©The Author(s)2026 http://gffzzd3cc09b8251d45dfs99kb09kpkwbw6x6b.ffgz.tsg.suse.edu.cn/10.1007/s40820-026-02217-5 The original article can be found online at http://gffzzd3cc09b8251d45dfs99kb09kpkwbw6x6b.ffgz.tsg.suse.edu.cn/10.1007/s40820-026-02191-y.*Hongyu Tang,hongyu_tang@fudan.edu.cn;Ruiqian Guo,rqguo@fudan.edu.cn 1 College of Intelligent Robotics and Advanced Manufacturing,Fudan University,Shanghai 200433,People’s Republic of China 2 Shanghai Engineering Technology Research Center for SiC Power Device,Fudan University,Shanghai 200433,People’s Republic of China 3 EEMCS Faculty,Delft University of Technology,Delft 2628CD,The Netherlands Following publication of the original article[1],the authors reported that the Acknowledgments and Authors’Contributions sections need to be updated.The incorrect version is:Acknowledgements Ruiqian Guo contributed to concep-tualization,review,and supervision.Guoqi Zhang contrib-uted to review and feedback.Author Contributions Hongyu Tang contributed to investigation,original draft writing,visualization,and funding acquisition.Ninghai Yu and Pengsheng Min were involved in original draft writing,visualization,and review.Ruiqian Guo and Guoqi Zhang contributed to conceptualiza-tion,review,and supervision. 展开更多
关键词 sensor memory computing advanced manufacturingfudan authors contributions post von neumann intelligence acknowledgments intelligent robotics nano micro lett
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