The Tsetlin machine is a new universal artificial intelligence (AI) method that learns simple logical rules to understand complex things, similar to how an infant uses logic to learn about the world. Being logical, the rules become understandable to humans. Yet, unlike all other intrinsically explainable techniques, Tsetlin machines are drop-in replacements for neural networks by supporting classification, convolution, regression, reinforcement learning, auto-encoding, language models, and natural language processing. They are further ideally suited for cutting-edge hardware solutions of low cost, enabling nanoscale intelligence, ultralow energy consumption, energy harvesting, unrivalled inference speed, and competitive accuracy. In this seminar, I cover the basics and recent advances of Tsetlin machines, including inference and learning, advanced architectures, and applications.

Prof. Ole-Christoffer Granmo is the Founding Director of the Centre for Artificial Intelligence Research (CAIR) at the University of Agder, Norway. He obtained his master’s degree in 1999 and his PhD degree in 2004, both from the University of Oslo, Norway. In 2018, he created the Tsetlin machine, for which he was awarded the AI research paper of the decade by the Norwegian Artificial Intelligence Consortium (NORA) in 2022. Dr. Granmo has authored 180+ refereed papers with eight paper awards in machine learning, encompassing learning automata, bandit algorithms, Tsetlin machines, Bayesian reasoning, reinforcement learning, and computational linguistics. He has further coordinated 7+ research projects and graduated 55+ master- and nine PhD students. Dr. Granmo is also a co-founder of NORA. Apart from his academic endeavors, he co-founded Anzyz Technologies AS and Tsense Intelligent Healthcare AS, and is an advisor at Literal Labs.