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TinyVers: A 0.8-17 TOPS/W, 1.7 μW-20 mW, Tiny Versatile System-on-chip with State-Retentive eMRAM for Machine Learning Inference at the Extreme Edge
Research article (2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits), 2022) · cited 28× · AI/ML
TinyVers: A 0.8-17 TOPS/W, 1.7 μW-20 mW, Tiny Versatile System-on-chip with State-Retentive eMRAM for Machine Learning Inference at the Extreme Edge
Summary
TinyVers: A 0.8-17 TOPS/W, 1.7 μW-20 mW, Tiny Versatile System-on-chip with State-Retentive eMRAM for Machine Learning Inference at the Extreme Edge is a scholarly article[1].
Key Facts
TinyVers: A 0.8-17 TOPS/W, 1.7 μW-20 mW, Tiny Versatile System-on-chip with State-Retentive eMRAM for Machine Learning Inference at the Extreme Edge'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). TinyVers: A 0.8-17 TOPS/W, 1.7 μW-20 mW, Tiny Versatile System-on-chip with State-Retentive eMRAM for Machine Learning Inference at the Extreme Edge. Retrieved May 24, 2026, from https://4ort.xyz/entity/tinyvers-a-0-8-17-tops-w-1-7-w-20-mw-tiny-versatile-system-on-chip-with-state-retentive-emram-for-machine-learning-infer
MLA“TinyVers: A 0.8-17 TOPS/W, 1.7 μW-20 mW, Tiny Versatile System-on-chip with State-Retentive eMRAM for Machine Learning Inference at the Extreme Edge.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/tinyvers-a-0-8-17-tops-w-1-7-w-20-mw-tiny-versatile-system-on-chip-with-state-retentive-emram-for-machine-learning-infer.
BibTeX@misc{4ortxyz_tinyvers-a-0-8-17-tops-w-1-7-w-20-mw-tiny-versatile-system-on-chip-with-state-retentive-emram-for-machine-learning-infer_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{TinyVers: A 0.8-17 TOPS/W, 1.7 μW-20 mW, Tiny Versatile System-on-chip with State-Retentive eMRAM for Machine Learning Inference at the Extreme Edge}}, year = {2026}, url = {https://4ort.xyz/entity/tinyvers-a-0-8-17-tops-w-1-7-w-20-mw-tiny-versatile-system-on-chip-with-state-retentive-emram-for-machine-learning-infer}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): TinyVers: A 0.8-17 TOPS/W, 1.7 μW-20 mW, Tiny Versatile System-on-chip with State-Retentive eMRAM for Machine Learning Inference at the Extreme Edge — https://4ort.xyz/entity/tinyvers-a-0-8-17-tops-w-1-7-w-20-mw-tiny-versatile-system-on-chip-with-state-retentive-emram-for-machine-learning-infer (retrieved 2026-05-24)
