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You can use the Google Patents Public Datasets (mirror), which can be accessed through Google BigQuery. For example, this query (its execution is free of charge): #legacySQL SELECT publication_number, assignee_harmonized.name, filing_date, country_code FROM [patents-public-data.patents.publications] -- WHERE UPPER(assignee_harmonized.name) LIKE 'ADOBE%' ...


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Here are two links to GitHub projects that can be used to help download and parse USPTO data. https://github.com/USPTO/PatentPublicData https://github.com/USPTO/bulk-data-tools I am also in the process of building a comprehensive tool in Python that downloads, parses and builds an SQL database of all patent, application, PAIR, and classification data-sets....


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The freepatentsonline.com expert search (www.freepatentsonline.com/search.html) is really robust free resource. Scroll down for the expert search. To do the search you've described, check the box for US Patents (and uncheck any other boxes). Then enter: AN/stanford + "machine learning" The AN stands for "assignee name" and entering "machine learning" ...


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