Global Patent
Global patent analysis is undergoing a transformation driven by the rapid growth in patent filings and the increasing complexity of technological innovation. Research focuses on developing automated systems, leveraging AI and machine learning, particularly transformer-based models like BERT, to improve patent landscaping, classification, and similarity search. These advancements aim to streamline patent searching, analysis, and valuation, enhancing efficiency for researchers, inventors, and patent offices alike. The resulting improvements in data processing and knowledge retrieval have significant implications for innovation and intellectual property management.
Papers
July 10, 2024
April 2, 2024
February 29, 2024
February 20, 2024