A 640M pixel/s 3.65mW sparse event-driven neuromorphic object recognition processor with on-chip learning
Summary
A 640M pixel/s 3.65mW sparse event-driven neuromorphic object recognition processor with on-chip learning is a scholarly article[1].
Key Facts
A 640M pixel/s 3.65mW sparse event-driven neuromorphic object recognition processor with on-chip learning'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). A 640M pixel/s 3.65mW sparse event-driven neuromorphic object recognition processor with on-chip learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-640m-pixel-s-3-65mw-sparse-event-driven-neuromorphic-object-recognition-processor-with-on-chip-learning