{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11288601","patent":{"patent_number":"US-11288601","title":"Self-learning selection of information-analysis runtimes","assignee":null,"inventors":[],"filing_date":"2019-03-21T00:00:00.000Z","publication_date":"2022-03-29T00:00:00.000Z","cpc_codes":["G06N","G06F","G06N","G06N","G06F"],"num_claims":20,"abstract":"A self-learning computer-based system has access to multiple runtime modules that are each capable of performing a particular algorithm. Each runtime module implements the algorithm with different code or runs in a different runtime environment. The system responds to a request to run the algorithm by selecting the runtime module or runtime environment that the system predicts will provide the most desirable results based on parameters like accuracy, performance, cost, resource-efficiency, or policy compliance. The system learns how to make such predictions through training sessions conducted by a machine-learning component. This training teaches the system that previous module selections produced certain types of results in the presence of certain conditions. After determining whether similar conditions currently exist, the system uses rules inferred from the training sessions to select the runtime module most likely to produce desired results."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Self-learning selection of information-analysis runtimes","description":"A self-learning computer-based system has access to multiple runtime modules that are each capable of performing a particular algorithm. Each runtime module implements the algorithm with different cod","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11288601","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-11288601","citation_suggestion":"Patentable. \"Self-learning selection of information-analysis runtimes\" (US-11288601). https://patentable.app/patents/US-11288601","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11288601","json":"https://patentable.app/api/llm-context/US-11288601","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T09:36:23.728Z"}