ML4 Patents Webinar Series
October 27, 2021
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You have machine learning questions, we have answers!
IPRally bridges the gap between the boolean world and black box artificial intelligence solutions by introducing knowledge graphs to patent searching. The IPRally platform is a fully featured prior art, novelty, invalidity and FTO search platform powered by graph-based deep learning AI. Graphs bring the long-awaited control and explainabilty to AI searching.
In the webinar, we explain why we ended using the graphs, what are graph neural networks and how they fit into the picture, what benefits they offer both for the developers and the users, and how our graph-based training and search pipeline works. We also discuss some metrics that help to evaluate if we are doing the right things.
Agenda:
Welcomes and introductions
Qubit for quantum computing case examples
IP Rally additional features
Questions from the viewers
Sakari Arvela is an authorized Finnish and European Patent Attorney with background in medical technology, (micro)electronics, optics and consumer devices. Besides doing patent drafting, prosecution and opposition work since 2004, he worked as the deputy managing director at Laine IP, Finland, in 2010-2012 and has run his own consultative business. He has also trained EQE candidates at CEIPI courses. In 2018, Sakari co-founded IPRally Technologies Oy (www.iprally.com), an AI company utilizing Graph Neural Network technologies to enhance machine understanding of technology for supporting patent professionals. Sakari has an M.Sc. in Engineering Physics.
Sebastian Björkqvist joined IPRally as an AI Developer in 2018, and focuses on developing IPRally's graph-based patent search engine. He's improved existing graph neural network architectures to be more suitable for patent searching and also worked on enhancing natural language processing algorithms to better understand patent texts. Sebastian has worked in the IT field since 2013 and holds a Master's degree in Mathematics.
Anthony (Tony) Trippe is Managing Director of Patinformatics, LLC. Patinformatics is an advisory firm specializing in patent analytics and landscaping to support decision making for technology based businesses. In addition to operating Patinformatics, Mr. Trippe is also an Adjunct Professor of IP Management and Markets at Illinois Institute of Technology teaching a course on patent analysis, and landscapes for strategic decision making. Tony is an influential thought leader in the patent analysis space, wrote the Guidelines for the Preparation of Patent Landscape Reports for the World Intellectual Property Organization, has been named one of the Top 300 IP Strategists by IAM Magazine, and is the developer of ML4Patents.com the industry's online resource for the use of machine learning and artificial intelligence in the field of Intellectual Property.
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