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Can We Together Solve the Major Challenges in AI Patent Search?
( go to the article → https://datafloq.com/read/can-we-together-solve-major-challenges-ai-patent-search/14312 )
“AI is a core, transformative way by which we’re rethinking how we’re doing everything.” - Google CEO Sundar PichaiPatents were first digitized on a mass scale in the 90s. Since then most applications built on top of patent data have stayed more or less within the comfortable bounds of providing data access through keyword filters or fielded searches. With the advent of new and powerful AI methods in the last few years, however, many more things are being attempted. The possibilities are endless but there are many challenges to overcome too.Patents Are Written DifferentlyA number of AI programs are available today that understand language to some basic extent. They are called language models. However, most language models are trained on data obtained from online resources such as Wikipedia and Reddit. What an AI learns depends on its training data, so these language models don’t perform as well on patent data.Recently, a team at Google created language models trained specifically on patent text. These models are going to play an important role in the development of patent AI apps.Patent Text is HardPatent attorneys are not famous for drafting patents in a way that facilitates legibility. They don’t call a spade a ...Read More on Datafloq
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