Powering AI at the edge: A robust, memristor-based binarized neural network with near-memory computing and miniaturized solar cell.
- DOI
- 10.1038/s41467-024-44766-6
- Published
- 2024 Jan 25
- Container
- Nature communications
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- supportingOpen access status: Normalized open-access status: open.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1038/s41467-024-44766-6,
title = {Powering AI at the edge: A robust, memristor-based binarized neural network with near-memory computing and miniaturized solar cell.},
author = {Jebali F and Majumdar A and Turck C and Harabi KE and Faye MC and Muhr E and Walder JP and Bilousov O and Michaud A and Vianello E and Hirtzlin T and Andrieu F and Bocquet M and Collin S and Querlioz D and Portal JM},
year = {2024},
journal = {Nature communications},
doi = {10.1038/s41467-024-44766-6},
url = {https://doi.org/10.1038/s41467-024-44766-6}
}RIS
TY - JOUR TI - Powering AI at the edge: A robust, memristor-based binarized neural network with near-memory computing and miniaturized solar cell. AU - Jebali F AU - Majumdar A AU - Turck C AU - Harabi KE AU - Faye MC AU - Muhr E AU - Walder JP AU - Bilousov O AU - Michaud A AU - Vianello E AU - Hirtzlin T AU - Andrieu F AU - Bocquet M AU - Collin S AU - Querlioz D AU - Portal JM PY - 2024 JO - Nature communications DO - 10.1038/s41467-024-44766-6 UR - https://doi.org/10.1038/s41467-024-44766-6 ER -
APA
F, J., A, M., C, T., KE, H., MC, F., E, M., JP, W., O, B., A, M., E, V., T, H., F, A., M, B., S, C., D, Q., & JM, P. (2024). Powering AI at the edge: A robust, memristor-based binarized neural network with near-memory computing and miniaturized solar cell.. Nature communications. https://doi.org/10.1038/s41467-024-44766-6
Source records
- pubmed · retrieved 2026-09-27T11:03:04.203Z