{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11960989","patent":{"patent_number":"US-11960989","title":"Read threshold estimation systems and methods using deep learning","assignee":null,"inventors":[],"filing_date":"2020-07-24T00:00:00.000Z","publication_date":"2024-04-16T00:00:00.000Z","cpc_codes":["G06N","G06N","G06F","G06F","G06F","G11C","G11C","G11C","G11C","G11C","G11C","G11C","G11C","G06F","G06F","G11C","G11C"],"num_claims":20,"abstract":"A controller estimates optimal read threshold values for a memory device using deep learning. The memory device includes multiple pages coupled to select word lines in a memory region. The controller performs multiple read operations on a select type of page for each word line using multiple read threshold sets, obtains fail bit count (FBC) information associated with each read operation, and determines an optimal read threshold set for each word line based on the FBC information. When optimal read threshold sets for the select word lines are different each other, the controller predicts a best read threshold set using the optimal read threshold sets."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Read threshold estimation systems and methods using deep learning","description":"A controller estimates optimal read threshold values for a memory device using deep learning. The memory device includes multiple pages coupled to select word lines in a memory region. The controller ","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11960989","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-11960989","citation_suggestion":"Patentable. \"Read threshold estimation systems and methods using deep learning\" (US-11960989). https://patentable.app/patents/US-11960989","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11960989","json":"https://patentable.app/api/llm-context/US-11960989","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T15:07:25.811Z"}