Australian IP office launches AI ‘app store’
IP Australia yesterday, September 26, launched an online platform which will provide global access to “cutting edge” artificial intelligence (AI) and machine learning tools.
According to IP Australia, the IP Global AI Network (IP GAIN) can be “can be likened to an app store or marketplace” for AI-powered tools and services.
Third parties will be able to host their AI and machine learning products on the network, which can be accessed via a web browser or an app.
IP Gain will also include a “source code repository for sharing, licensing and co-development”.
IP Australia said that it was keen for other IP offices to make use of the new service: “Presently multiple [IP] offices work independently to solve business problems leading to significant duplicated effort across the industry,” the office’s website states.
“The development of AI/machine learning tools that support our work require many resources from financial and people to data and technology integration; not all IP offices have access to these,” IP Australia added.
This year has seen IP offices increase efforts to expand their use of emerging technology such as AI.
In April, the World Intellectual Property Organization (WIPO) unveiled an AI-powered image search engine that it said would improve the speed with which a brand can establish a mark’s distinctiveness.
All users can access the tool, which covers the national databases of 45 IP offices, for free through WIPO’s Global Brand Database.
IP Australia said the IP GAIN project fulfilled a number of objectives identified in the office’s “Strategic Roadmap to 2030”, which outlined plans for an AI project, as well as a “focus on improved international collaboration and co-development”.
It is not the office’s first foray into the use of AI to improve the IP system. Last year, it launched a new “ smart assessment toolkit” containing machine learning tools for trademark examiners.
The toolkit covers word marks, and also includes “word analysis” which examines applications for potentially objectionable content.
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