In this course, we will discuss strategies on how you or your clients can protect new artificial intelligence technologies using the patent system, in Canada, United States, and abroad.
In this course, Wael Nackasha and Matt Norwood will discuss strategies used to protect new artificial intelligence technologies using the patent system, in Canada, and abroad. In a first section, the course will address the relative roles of engineering expertise, access to data, and AI-related IP in establishing a competitive advantage in the market; it will also present a brief taxonomy of AI technologies and explore industry trends in AI and machine learning. In a second section, the webinar will outline specific patent drafting and filing strategies that you can use to secure meaningful and effective patents on a wide range of different types of innovations in the AI field, through the lens of the competitive and technological landscape outlined in the first section.
Topics will include:
The Patent Storyteller
Benjamin Mak is The Patent StorytellerTM. Many artificial intelligence (AI) companies can generate complex technologies that are confusing for others to understand. Benjamin assists AI companies in building their patent strategy that clearly tells the story of the invention to their stakeholders and to the Patent Offices. Please contact Benjamin for the white paper on AI patents. Benjamin is a principal of Smart & Buggar LP in the firm’s Toronto office. His practice is principally directed towards patent drafting and prosecution, with an emphasis on the fields of AI/machine learning, Blockchain/crypto/Non-Fungible Tokens (NFTs), Metaverse and extended realty (XR/AR/VR/MR), telecommunication, signal processing, biomedical, computer, and electrical. Benjamin is a graduate of the biomedical-electrical engineering stream of the engineering science program at the University of Toronto. He previously worked as a research engineer at a Toronto area hospital, where he was involved in the development of medical imaging devices
Partner
Matt Norwood is a partner at Ridout & Maybee LLP in the firm’s Toronto office. His practice is directed towards drafting and prosecuting patent applications, litigating intellectual property disputes, and advising clients on IP licensing matters. He is licensed to practice as a barrister and solicitor in Ontario, as an attorney in New York, as a registered patent agent before the Canadian Intellectual Property Office, and as a registered patent attorney before the US Patent and Trademark Office. Wael Louis Nackasha is an associate at Ridout & Maybee LLP in the firm’s Toronto office. His practice focuses on patent and trademark prosecution. He drafts and prosecutes patents in the areas of electrical, computer, machine learning, telecommunication, and computer-related technology. Wael has several years of industrial and academic experience as a research scientist and programmer. With a P.Eng designation, he is also a member of the Professional Engineers of Ontario and completed his M.Sc. and Ph.D in Electrical and Computer Engineering, focusing on artificial intelligence, at the University of Toronto. Wael has also published papers in national and international conferences and journals in the areas of machine learning, biometrics, computer vision, signal and image processing, and statistical signal processing. He has experience in programming, including Python, Matlab, R, C/C++, Java, assembly language, and has had some exposure to PHP, HTML, as well as FPGA programming. He stays up to date with the state of the art of research in his areas of expertise and is currently a reviewer for multiple journals.
Lawyer
Wael Louis Nackasha is an associate at Ridout & Maybee LLP in the firm’s Toronto office. His practice focuses on patent and trademark prosecution. He drafts and prosecutes patents in the areas of electrical, computer, machine learning, telecommunication, and computer-related technology. Wael has several years of industrial and academic experience as a research scientist and programmer. With a P.Eng designation, he is also a member of the Professional Engineers of Ontario and completed his M.Sc. and Ph.D in Electrical and Computer Engineering, focusing on artificial intelligence, at the University of Toronto. Wael has also published papers in national and international conferences and journals in the areas of machine learning, biometrics, computer vision, signal and image processing, and statistical signal processing. He has experience in programming, including Python, Matlab, R, C/C++, Java, assembly language, and has had some exposure to PHP, HTML, as well as FPGA programming. He stays up to date with the state of the art of research in his areas of expertise and is currently a reviewer for multiple journals.
