{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11461591","patent":{"patent_number":"US-11461591","title":"Allocating computing resources during continuous retraining","assignee":null,"inventors":[],"filing_date":"2020-12-16T00:00:00.000Z","publication_date":"2022-10-04T00:00:00.000Z","cpc_codes":["G06F","G06F","G06F","G06N","G06N","G06N","G06N","G06V","G06F"],"num_claims":20,"abstract":"Methods and computing devices for allocating computing resources and selecting hyperparameter configurations during continuous retraining and operation of a machine learning model. In one example, a computing device configured to be located at a network edge between a local network and a cloud service includes a processor and a memory storing instructions executable by the processor to operate a machine learning model. During a retraining window, a selected portion of a video stream is selected for labeling. At least a portion of a labeled retraining data set is selected for profiling a superset of hyperparameter configurations. For each configuration of the superset of hyperparameter configurations, a profiling test is performed. The profiling test is terminated, and a change in inference accuracy that resulted from the profiling test is extrapolated. Based upon the extrapolated inference accuracies, a set of selected hyperparameter configurations is output."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Allocating computing resources during continuous retraining","description":"Methods and computing devices for allocating computing resources and selecting hyperparameter configurations during continuous retraining and operation of a machine learning model. In one example, a c","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11461591","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-11461591","citation_suggestion":"Patentable. \"Allocating computing resources during continuous retraining\" (US-11461591). https://patentable.app/patents/US-11461591","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11461591","json":"https://patentable.app/api/llm-context/US-11461591","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T18:35:30.519Z"}