Leveraging the Error Resilience of Neural Networks for Designing Highly Energy Efficient Accelerators
Summary
Leveraging the Error Resilience of Neural Networks for Designing Highly Energy Efficient Accelerators is a scholarly article[1].
Key Facts
Leveraging the Error Resilience of Neural Networks for Designing Highly Energy Efficient Accelerators's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Leveraging the Error Resilience of Neural Networks for Designing Highly Energy Efficient Accelerators. Retrieved May 24, 2026, from https://4ort.xyz/entity/leveraging-the-error-resilience-of-neural-networks-for-designing-highly-energy-efficient-accelerators
MLA“Leveraging the Error Resilience of Neural Networks for Designing Highly Energy Efficient Accelerators.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/leveraging-the-error-resilience-of-neural-networks-for-designing-highly-energy-efficient-accelerators.
BibTeX@misc{4ortxyz_leveraging-the-error-resilience-of-neural-networks-for-designing-highly-energy-efficient-accelerators_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Leveraging the Error Resilience of Neural Networks for Designing Highly Energy Efficient Accelerators}}, year = {2026}, url = {https://4ort.xyz/entity/leveraging-the-error-resilience-of-neural-networks-for-designing-highly-energy-efficient-accelerators}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Leveraging the Error Resilience of Neural Networks for Designing Highly Energy Efficient Accelerators — https://4ort.xyz/entity/leveraging-the-error-resilience-of-neural-networks-for-designing-highly-energy-efficient-accelerators (retrieved 2026-05-24)