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UID:calendar.28341.field_data.0@www.diag.uniroma1.it
DTSTAMP:20260418T111139Z
CREATED:20240610T132043Z
DESCRIPTION:The emerging paradigm of Tsetlin machines provides a fundamenta
 l shift from arithmetic-based to logic-based machine learning. At the core
 \, finite state machines\, so-called Tsetlin automata\, learn patterns usi
 ng logical clauses\, and these constitute a global description of the task
  learnt. In this way\, Tsetlin machines introduce the concept of logical i
 nterpretable learning\, where both the learned model and the process of le
 arning are easy to follow and explain. The combination of finite state mac
 hines and logical rules is particularly suited for cutting-edge hardware s
 olutions\, enabling nano-scale intelligence\, ultra-low energy consumption
 \, energy harvesting\, and unrivaled inference speed. Tsetlin machines off
 er competitive accuracy\, scalability\, speed\, and energy efficiency acro
 ss diverse tasks\, including classification\, convolution\, regression\, n
 atural language processing\, and speech understanding. In this short cours
 e\, I cover the basics and recent advances of Tsetlin machines.  June 21  
     16:30-18:00 Lecture 1: The Tsetlin Automaton and Games of Tsetlin Auto
 mata June 25      13:30-15:00 Lecture 2: The Tsetlin Machine - Inference a
 nd Learning. June 26      13:30 - 15:00 Lecture 3: Selected Applications i
 n Natural Language Processing\, Image Analysis\, Board Games\, and Edge Co
 mputing  June 27       13:30 - 15:00 Lecture 4: Markov Chain Analysis of L
 earning Process June 28       13:30 - 15:00 Lecture 5: Advanced Architectu
 res: Regression\, Convolution\, Auto-encoding\, and Composite  Bio Profess
 or Ole-Christoffer Granmo is the Founding Director of the Centre for Artif
 icial Intelligence Research (CAIR)\, University of Agder\, Norway. He obta
 ined his master’s degree in 1999 and his PhD degree in 2004\, both from th
 e 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 Norweg
 ian Artificial Intelligence Consortium (NORA) in 2022. Dr. Granmo has auth
 ored over 180 refereed papers with eight paper awards in machine learning\
 , encompassing learning automata\, bandit algorithms\, Tsetlin machines\, 
 Bayesian reasoning\, reinforcement learning\, and computational linguistic
 s. He has further coordinated 7+ research projects and graduated 55+ maste
 r- and nine PhD students. Dr. Granmo is also a co-founder of NORA. Apart f
 rom his academic endeavors\, he co-founded the company Anzyz Technologies 
 AS. 
DTSTART;TZID=Europe/Paris:20240621T163000
DTEND;TZID=Europe/Paris:20240621T163000
LAST-MODIFIED:20240610T135642Z
LOCATION:Via Ariosto 25\, Aula A2
SUMMARY:Fundamentals of Tsetlin Machines - Prof. Ole-Christoffer Granmo
URL;TYPE=URI:https://www.diag.uniroma1.it/node/28341
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