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Designing Energy Efficient Approximate Multipliers for Neural Acceleration

Research article (2018 21st Euromicro Conference on Digital System Design (DSD), 2018) · cited 10× · AI/ML
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Designing Energy Efficient Approximate Multipliers for Neural Acceleration

Summary

Designing Energy Efficient Approximate Multipliers for Neural Acceleration is a scholarly article[1].

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  • Designing Energy Efficient Approximate Multipliers for Neural Acceleration's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Designing Energy Efficient Approximate Multipliers for Neural Acceleration. Retrieved May 24, 2026, from https://4ort.xyz/entity/designing-energy-efficient-approximate-multipliers-for-neural-acceleration
MLA “Designing Energy Efficient Approximate Multipliers for Neural Acceleration.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/designing-energy-efficient-approximate-multipliers-for-neural-acceleration.
BibTeX @misc{4ortxyz_designing-energy-efficient-approximate-multipliers-for-neural-acceleration_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Designing Energy Efficient Approximate Multipliers for Neural Acceleration}}, year = {2026}, url = {https://4ort.xyz/entity/designing-energy-efficient-approximate-multipliers-for-neural-acceleration}, note = {Accessed: 2026-05-24}}
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