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AI and patenting AI inventions
Artificial intelligence (AI) and machine learning are technologies that are being exploited in many different industries. Patents are often sought for new inventions using these technologies, however different jurisdictions assess the patentability of such inventions in different ways that may lead to some stumbling blocks.

In this webinar, Tim Wilson and Mark Bell discuss the current IP landscape in relation to AI and the criteria for patenting AI inventions.

Aug 27, 2020 12:30 PM in London

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Mark Bell
Senior Associate @Dehns Patent and Trade Mark Attorneys
Mark is a qualified UK and European patent attorney and holds a first class Master of Physics degree from Oxford University. Mark’s work involves handling patents in a wide variety of high-tech engineering and physics fields, including: quantum computing, graphics processing, nuclear fusion, satellite technology, telecommunications, solid state lighting, pressure regulation, construction, water oxygenation, nuclear decommissioning and medical devices. Mark acts for a variety of clients, from start-ups, university spin-outs and SMEs all the way through to multinational corporations, with a particular focus on small and medium sized technology companies for whom their patent portfolios are one of their major assets.
Tim Wilson
Partner @Dehns Patent and Trade Mark Attorneys
Tim is a qualified European and UK Chartered Patent Attorney and a partner at Dehns. He holds a degree in mathematics from Oxford University and primarily works in the fields of computer systems, electronics, signal processing, medical technology and mechanical engineering. He acts for clients of all sizes, ranging from individual inventors to multinationals, but has a particular interest in helping small and medium-sized technology companies. He works closely with several start-up companies, not only drafting new patent applications but also providing strategic advice on building and exploiting an effective patent portfolio. With a strong background in mathematics, he is especially well equipped to handle highly-mathematical inventions in areas such as cryptography, statistics, artificial intelligence and signal processing.