OriGenAI
Michael has over 4 years of experience in artificial intelligence research, with successful projects using tree-search and evolutionary optimization techniques. He also has 8 years of experience in software development, from small hobby projects to working as an engineer at four international companies.
He is a first-author on 9 papers on artificial intelligence, including a “Best Paper Award” at the International Conference on the Foundations of Digital Games, with an additional 10 papers as a secondary-author, including a “Best Paper Nominee” at the International Conference on Computational Creativity.
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OriGenAI
Physics Informed Deep Reinforcement Learning technology delivers reservoir simulations and optimization 10,000x faster. High resolution, low uncertainty results. Increase production and reduce capital expenditure.