{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11256984","patent":{"patent_number":"US-11256984","title":"Data compression for machine learning tasks","assignee":null,"inventors":[],"filing_date":"2017-12-15T00:00:00.000Z","publication_date":"2022-02-22T00:00:00.000Z","cpc_codes":["G06N","G06N","G06N","G06N","G06V","G06V","G06V","G06V","G06V","G06V","G06V","G06F","G06F","G06F","G06N","G06N","G06N","G06T","G06V","G06V","G06V","G06V","G06V","G06V","H04N","H04N","H04N","H04N","H04N","H04N","H04N","H04N","H04N","H04N","H04N","H04N"],"num_claims":40,"abstract":"A machine learning (ML) task system trains a neural network model that learns a compressed representation of acquired data and performs a ML task using the compressed representation. The neural network model is trained to generate a compressed representation that balances the objectives of achieving a target codelength and achieving a high accuracy of the output of the performed ML task. During deployment, an encoder portion and a task portion of the neural network model are separately deployed. A first system acquires data, applies the encoder portion to generate a compressed representation, performs an encoding process to generate compressed codes, and transmits the compressed codes. A second system regenerates the compressed representation from the compressed codes and applies the task model to determine the output of a ML task."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Data compression for machine learning tasks","description":"A machine learning (ML) task system trains a neural network model that learns a compressed representation of acquired data and performs a ML task using the compressed representation. The neural networ","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11256984","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-11256984","citation_suggestion":"Patentable. \"Data compression for machine learning tasks\" (US-11256984). https://patentable.app/patents/US-11256984","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11256984","json":"https://patentable.app/api/llm-context/US-11256984","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T15:38:01.211Z"}