Artificial Intelligence is Upon Us</H2></HEADER> <DIV class="wpb_text_column wpb_content_element "> <DIV class="wpb_wrapper"> <P>The patent information community is witnessing the development of powerful machine learning algorithms (AI-driven software) designed to revolutionize patent searching. The tools are new, but have improved the quality and comprehensiveness of prior art searches that are done by human analysts.</P> <P>This is a welcome development as no prior art search is complete and most cite only the best available relevant art.</P> </DIV> </DIV> <DIV class="wpb_text_column wpb_content_element "> <DIV class="wpb_wrapper"> <P>None is complete because the prior art searching depends on the limited capacity of humans to find and sift through numerous records from a body of millions and to assess technological relevance under time constraints. This is easily proven by giving two independent patent analysts an identical search request. Each will cite a different set of prior references, with some crossover, nearly every time.