Home › Entities › academia › A 41.3/26.7 pJ per Neuron Weight RBM Processor Supporting On-Chip Learning/Inference for IoT Applications

A 41.3/26.7 pJ per Neuron Weight RBM Processor Supporting On-Chip Learning/Inference for IoT Applications

Research article (IEEE Journal of Solid-State Circuits, 2017) · cited 22× · AI/ML
academia openalex:W2733849189
Press Enter · cited answer in seconds

A 41.3/26.7 pJ per Neuron Weight RBM Processor Supporting On-Chip Learning/Inference for IoT Applications

Summary

A 41.3/26.7 pJ per Neuron Weight RBM Processor Supporting On-Chip Learning/Inference for IoT Applications is a scholarly article[1].

Key Facts

  • A 41.3/26.7 pJ per Neuron Weight RBM Processor Supporting On-Chip Learning/Inference for IoT Applications's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

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.

APA 4ort.xyz Knowledge Graph. (2026). A 41.3/26.7 pJ per Neuron Weight RBM Processor Supporting On-Chip Learning/Inference for IoT Applications. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-41-3-26-7-pj-per-neuron-weight-rbm-processor-supporting-on-chip-learning-inference-for-iot-applications
MLA “A 41.3/26.7 pJ per Neuron Weight RBM Processor Supporting On-Chip Learning/Inference for IoT Applications.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-41-3-26-7-pj-per-neuron-weight-rbm-processor-supporting-on-chip-learning-inference-for-iot-applications.
BibTeX @misc{4ortxyz_a-41-3-26-7-pj-per-neuron-weight-rbm-processor-supporting-on-chip-learning-inference-for-iot-applications_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A 41.3/26.7 pJ per Neuron Weight RBM Processor Supporting On-Chip Learning/Inference for IoT Applications}}, year = {2026}, url = {https://4ort.xyz/entity/a-41-3-26-7-pj-per-neuron-weight-rbm-processor-supporting-on-chip-learning-inference-for-iot-applications}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A 41.3/26.7 pJ per Neuron Weight RBM Processor Supporting On-Chip Learning/Inference for IoT Applications — https://4ort.xyz/entity/a-41-3-26-7-pj-per-neuron-weight-rbm-processor-supporting-on-chip-learning-inference-for-iot-applications (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/a-41-3-26-7-pj-per-neuron-weight-rbm-processor-supporting-on-chip-learning-inference-for-iot-applications · Last refreshed: