Patenting in an Age of Artificial Intelligence
The concept of artificial intelligence is prevalent in all areas of science from robotics to medicine to petrochemicals. The emergence of big data and machine learning has enabled new avenues for scientific discovery and innovation in all industries. For example, natural language speaking software uses machine learning to improve accuracy. The medical community uses big data to build better health profiles that enable predictive modeling of the efficacy of diagnostic and therapeutic protocols for individual patients. Also, big data analytics are implemented throughout all stages of the petrochemical industry from oil and gas exploration to commodity chemical production to improve process efficiencies, predicative maintenance, and supply chain optimization. However, protecting innovations that stem from computer-based learning and complex algorithms face increased scrutiny at patent offices around the world. That is, the identification of trends and the derivation of mathematical equations therefrom are broadly considered laws of nature and unpatentable. However, there are avenues to procuring such patents. This seminar will review the global landscape and outlook for patenting machine learning and artificial intelligence.
Valerie Moore is a registered patent agent with Vorys, Sater, Seymour and Pease LLP in Houston. She received her Ph.D. in chemistry, with a physical-organic chemistry and nanotechnology focus, and M.A. in chemistry from Rice University. Her experience is in the areas of nanotechnology, materials engineering, supramolecular science, analytical methods, surface science, chemistry and biotechnology. Dr. Moore is a member of the American Chemical Society and a past Chair of the ACS Greater Houston Section.
Networking and refreshments - 6:00 - 6:30 pm
Talk begins at 6:30 pm
