WIPO Launches State-of-the-Art Artificial Intelligence-Based Image Search Tool for Brands
The World Intellectual Property Organization (WIPO) has launched a new artificial intelligence (AI)-powered image search technology that makes it faster and easier to establish the distinctiveness of a trademark in a target market.
Earlier-generation image search tools primarily determine trademark image similarity by identifying shapes and colors in marks. WIPO’s new AI-based technology improves on this technology by using deep machine learning to identify combinations of concepts – such as an apple, an eagle, a tree, a crown, a car, a star – within an image to find similar marks that have previously been registered.
WIPO’s new AI search technology leverages deep neural networks and figurative elements classification data from the Madrid System for the International Registration of Marks and from large trademark offices.
All users can access the AI search technology for free through WIPO’s Global Brand Database, where it has been fully integrated into the database search engine.
A new AI-focused research and development team has developed several new tools, including the AI-powered trademark search function and WIPO Translate, a neural machine translation tool for patent texts.
Direct to Global Brand Database
About Gary Price
Gary Price (email@example.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com. Gary is also the co-founder of infoDJ an innovation research consultancy supporting corporate product and business model teams with just-in-time fact and insight finding.