{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11948070","patent":{"patent_number":"US-11948070","title":"Hardware implementation of a convolutional neural network","assignee":null,"inventors":[],"filing_date":"2023-04-10T00:00:00.000Z","publication_date":"2024-04-02T00:00:00.000Z","cpc_codes":["G06N","G06F","G06F","G06N","G06N","G06N","G06N","G06N","G06N"],"num_claims":20,"abstract":"A method in a hardware implementation of a Convolutional Neural Network (CNN), includes receiving a first subset of data having at least a portion of weight data and at least a portion of input data for a CNN layer and performing, using at least one convolution engine, a convolution of the first subset of data to generate a first partial result; receiving a second subset of data comprising at least a portion of weight data and at least a portion of input data for the CNN layer and performing, using the at least one convolution engine, a convolution of the second subset of data to generate a second partial result; and combining the first partial result and the second partial result to generate at least a portion of convolved data for a layer of the CNN."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Hardware implementation of a convolutional neural network","description":"A method in a hardware implementation of a Convolutional Neural Network (CNN), includes receiving a first subset of data having at least a portion of weight data and at least a portion of input data f","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11948070","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-11948070","citation_suggestion":"Patentable. \"Hardware implementation of a convolutional neural network\" (US-11948070). https://patentable.app/patents/US-11948070","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11948070","json":"https://patentable.app/api/llm-context/US-11948070","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T01:51:07.276Z"}