{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-10496929","patent":{"patent_number":"US-10496929","title":"Data-parallel probabilistic inference","assignee":null,"inventors":[],"filing_date":"2014-06-26T00:00:00.000Z","publication_date":"2019-12-03T00:00:00.000Z","cpc_codes":["G06N"],"num_claims":20,"abstract":"The present invention relates to a probabilistic programming compiler that (a) generates data-parallel inference code to sample from probability distributions in models provided to the compiler; and (b) utilizes a modular framework to allow addition and removal of inference algorithm information based on which the compiler generates the inference code. For a given model, the described compiler can generate inference code that implements any one or more of the inference algorithms that are available to the compiler. The modular compiler framework utilizes an intermediate representation (IR) that symbolically represents features of probability distributions. The compiler then uses the IR as a basis for emitting inference code to sample from the one or more probability distributions represented in the IR. Further, the compiler produces parallelized inference code that facilitates efficient parallel processing of inference computations in order to take advantage of highly data-parallel architectures, such as GPUs."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Data-parallel probabilistic inference","description":"The present invention relates to a probabilistic programming compiler that (a) generates data-parallel inference code to sample from probability distributions in models provided to the compiler; and (","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-10496929","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-10496929","citation_suggestion":"Patentable. \"Data-parallel probabilistic inference\" (US-10496929). https://patentable.app/patents/US-10496929","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-10496929","json":"https://patentable.app/api/llm-context/US-10496929","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T14:09:24.465Z"}