{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11991050","patent":{"patent_number":"US-11991050","title":"Drift detection in edge devices via multi-algorithmic deltas","assignee":null,"inventors":[],"filing_date":"2022-10-25T00:00:00.000Z","publication_date":"2024-05-21T00:00:00.000Z","cpc_codes":["G06N","H04L","G06F","H04L","H04L"],"num_claims":20,"abstract":"One or more systems, devices, computer program products and/or computer-implemented methods provided herein relate to data drift detection in an edge device. A system can comprise a memory configured to store computer executable components; and a processor configured to execute the computer executable components stored in the memory, wherein the computer executable components can comprise a verification component that can verify accuracy of a first model and accuracy of a second model to detect data drift associated with an edge device that is deployed without network connectivity; a computation component that can compute at least a first ratio based on the accuracy of the first model and the accuracy of the second model; and an analysis component that can use the at least the first ratio to determine whether performance degradation of at least one of the first model or the second model is a function of the data drift."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Drift detection in edge devices via multi-algorithmic deltas","description":"One or more systems, devices, computer program products and/or computer-implemented methods provided herein relate to data drift detection in an edge device. A system can comprise a memory configured ","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11991050","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-11991050","citation_suggestion":"Patentable. \"Drift detection in edge devices via multi-algorithmic deltas\" (US-11991050). https://patentable.app/patents/US-11991050","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11991050","json":"https://patentable.app/api/llm-context/US-11991050","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T13:14:14.788Z"}