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An energy-efficient 10T SRAM in-memory computing macro for artificial intelligence edge processor

Research article (Memories - Materials Devices Circuits and Systems, 2023) · cited 17× · AI/ML
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An energy-efficient 10T SRAM in-memory computing macro for artificial intelligence edge processor

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An energy-efficient 10T SRAM in-memory computing macro for artificial intelligence edge processor is a scholarly article[1].

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  • An energy-efficient 10T SRAM in-memory computing macro for artificial intelligence edge processor's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). An energy-efficient 10T SRAM in-memory computing macro for artificial intelligence edge processor. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-energy-efficient-10t-sram-in-memory-computing-macro-for-artificial-intelligence-edge-processor
MLA “An energy-efficient 10T SRAM in-memory computing macro for artificial intelligence edge processor.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-energy-efficient-10t-sram-in-memory-computing-macro-for-artificial-intelligence-edge-processor.
BibTeX @misc{4ortxyz_an-energy-efficient-10t-sram-in-memory-computing-macro-for-artificial-intelligence-edge-processor_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An energy-efficient 10T SRAM in-memory computing macro for artificial intelligence edge processor}}, year = {2026}, url = {https://4ort.xyz/entity/an-energy-efficient-10t-sram-in-memory-computing-macro-for-artificial-intelligence-edge-processor}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An energy-efficient 10T SRAM in-memory computing macro for artificial intelligence edge processor — https://4ort.xyz/entity/an-energy-efficient-10t-sram-in-memory-computing-macro-for-artificial-intelligence-edge-processor (retrieved 2026-05-24)

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