橱柜
发表于 2025-3-21 20:08:21
书目名称Deep In-memory Architectures for Machine Learning影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0264559<br><br> <br><br>书目名称Deep In-memory Architectures for Machine Learning影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0264559<br><br> <br><br>书目名称Deep In-memory Architectures for Machine Learning网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0264559<br><br> <br><br>书目名称Deep In-memory Architectures for Machine Learning网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0264559<br><br> <br><br>书目名称Deep In-memory Architectures for Machine Learning被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0264559<br><br> <br><br>书目名称Deep In-memory Architectures for Machine Learning被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0264559<br><br> <br><br>书目名称Deep In-memory Architectures for Machine Learning年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0264559<br><br> <br><br>书目名称Deep In-memory Architectures for Machine Learning年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0264559<br><br> <br><br>书目名称Deep In-memory Architectures for Machine Learning读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0264559<br><br> <br><br>书目名称Deep In-memory Architectures for Machine Learning读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0264559<br><br> <br><br>
使坚硬
发表于 2025-3-21 20:51:58
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连接
发表于 2025-3-22 01:25:49
DIMA Prototype Integrated Circuits,is a multi-functional DIMA that implements four different machine learning algorithms—the support vector machine (SVM), template matching (TM), .-nearest neighbor (.-NN), and matched filter (MF), thereby demonstrating DIMA’s versatility. The second IC implements the random forest (RF) algorithm whic
纤细
发表于 2025-3-22 06:40:03
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AVANT
发表于 2025-3-22 11:33:17
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Pathogen
发表于 2025-3-22 16:45:18
PROMISE: A DIMA-Based Accelerator,nts a DIMA-based accelerator called PROMISE, which realizes a high level of programmability for diverse ML algorithms without noticeably losing the efficiency of mixed-signal accelerators for specific ML algorithms. PROMISE exposes instruction set mechanisms that allow software control over energy-v
Pathogen
发表于 2025-3-22 17:42:43
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盘旋
发表于 2025-3-22 23:39:55
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创作
发表于 2025-3-23 01:33:38
Hasso Plattner,Christoph Meinel,Larry Leiferficiency of mixed-signal accelerators for specific ML algorithms. PROMISE exposes instruction set mechanisms that allow software control over energy-vs-accuracy trade-offs, and supports compilation of high-level languages down to the hardware.
Suppository
发表于 2025-3-23 08:30:57
Book 2020y trade-offs. From first principles to lab prototypes, this book provides a comprehensive view of this emerging topic for both the practicing engineer in industry and the researcher in academia. The book is a journey into the exciting world of AI systems in hardware..