Maschinenlernanalytik für Edge-Vorrichtungen mit Mehrschichtiger Datenextraktion
Anmelder: Avago Technologies International Sales Pte. Limited 🇸🇬
Details
- Veröffentlichungs-Nr.
- EP4804474
- Anmeldetag
- 2. März 2026
- Veröffentlichung
- 9. September 2026
- Rechtsraum
- EP
Abstract
An electronic device is configured to filter sample data on the electronic device from data sources according to a sample filter configuration, where the data sources operate at respective functional layers, and to generate feature data from the sample data according to a feature generator configuration. The generated feature data is aggregated into queues in input formats corresponding to machine learning models activated according to a context switch policy, and inference operations are executed by providing feature data from the queues as input data to the machine learning models to generate output data. The status of the electronic device may be determined based on the generated output data, and the sample filter configuration, the feature generator configuration, or the context switch policy may be adapted based on the determined status of the electronic device to modify subsequent iterations of the filtering, generating, aggregating, or executing operations.
Anmelder
- Firma
- Avago Technologies International Sales Pte. Limited
- Land
- 🇸🇬 Singapur
Singapurische Vertriebsgesellschaft des Halbleiterkonzerns Avago Technologies (heute Broadcom), tätig im internationalen Vertrieb von Halbleiterkomponenten für Kommunikations-, Industrie- und Speicheranwendungen.
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