All-Digital Time-Domain Compute-in-Memory Engine for Binary Neural Networks With 1.05 POPS/W Energy Efficiency

Research article (ESSCIRC 2022- IEEE 48th European Solid State Circuits Conference (ESSCIRC), 2022) · cited 19× · AI/ML
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All-Digital Time-Domain Compute-in-Memory Engine for Binary Neural Networks With 1.05 POPS/W Energy Efficiency

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APA 4ort.xyz Knowledge Graph. (2026). All-Digital Time-Domain Compute-in-Memory Engine for Binary Neural Networks With 1.05 POPS/W Energy Efficiency. Retrieved May 24, 2026, from https://4ort.xyz/entity/all-digital-time-domain-compute-in-memory-engine-for-binary-neural-networks-with-1-05-pops-w-energy-efficiency
MLA “All-Digital Time-Domain Compute-in-Memory Engine for Binary Neural Networks With 1.05 POPS/W Energy Efficiency.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/all-digital-time-domain-compute-in-memory-engine-for-binary-neural-networks-with-1-05-pops-w-energy-efficiency.
BibTeX @misc{4ortxyz_all-digital-time-domain-compute-in-memory-engine-for-binary-neural-networks-with-1-05-pops-w-energy-efficiency_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{All-Digital Time-Domain Compute-in-Memory Engine for Binary Neural Networks With 1.05 POPS/W Energy Efficiency}}, year = {2026}, url = {https://4ort.xyz/entity/all-digital-time-domain-compute-in-memory-engine-for-binary-neural-networks-with-1-05-pops-w-energy-efficiency}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): All-Digital Time-Domain Compute-in-Memory Engine for Binary Neural Networks With 1.05 POPS/W Energy Efficiency — https://4ort.xyz/entity/all-digital-time-domain-compute-in-memory-engine-for-binary-neural-networks-with-1-05-pops-w-energy-efficiency (retrieved 2026-05-24)

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