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). Metal-oxide based, CMOS-compatible ECRAM for Deep Learning Accelerator. Retrieved May 24, 2026, from https://4ort.xyz/entity/metal-oxide-based-cmos-compatible-ecram-for-deep-learning-accelerator
MLA“Metal-oxide based, CMOS-compatible ECRAM for Deep Learning Accelerator.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/metal-oxide-based-cmos-compatible-ecram-for-deep-learning-accelerator.
BibTeX@misc{4ortxyz_metal-oxide-based-cmos-compatible-ecram-for-deep-learning-accelerator_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Metal-oxide based, CMOS-compatible ECRAM for Deep Learning Accelerator}}, year = {2026}, url = {https://4ort.xyz/entity/metal-oxide-based-cmos-compatible-ecram-for-deep-learning-accelerator}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Metal-oxide based, CMOS-compatible ECRAM for Deep Learning Accelerator — https://4ort.xyz/entity/metal-oxide-based-cmos-compatible-ecram-for-deep-learning-accelerator (retrieved 2026-05-24)
