Welcome to the First International Symposium on the Tsetlin Machine in Grimstad, Norway, June 20-21 2022

The emerging paradigm of Tsetlin machines makes a fundamental shift from arithmetic-based to logic-based machine learning. At the core, finite-state machines, based on learning automata, learn patterns using logical clauses, and these constitute a global description of the task learnt. In this way, the Tsetlin machine introduces the concept of logical interpretable learning, where both the learned model and the process of learning are easy to follow and explain. As a result, it reduces the expertise needed to apply ML techniques efficiently in various domains. The paradigm has enabled competitive accuracy, scalability, memory footprint, inference speed, and energy consumption across diverse tasks, including classification, convolution, regression, natural language processing (NLP), and speech understanding. 
Sponsor Type:1; 9


General Co-Chairs
Ole-Christoffer Granmo, University of Agder, Norway
Rishad Shafik, Newcastle University, UK
Program Co-Chairs
Lei Jiao, University of Agder, Norway
Vladimir Zadorozhny, University of Pittsburg, USA
Technical Program Committee
Per-Arne Andersen, University of Agder, Norway
Usman Anjum, University of Arkansas, USA
Domenico Balsamo, Newcastle University, UK
Geir Thore Berge, Hospital of Southern Norway, Norway
Christian Blakely, PwC Switzerland and University of Agder, Norway
Liqin Cao, Wuhan University, China
Stefano Di Carlo, The Polytechnic University of Milan, Italy
Linga Reddy Cenkeramaddi, University of Agder, Norway
Panos Chrysanthis, University of Pittsburgh, USA
Jonathan Elmer, University of Pittsburgh, USA
Sondre Glimsdal, Confirmit, Norway
Morten Goodwin, University of Agder, Norway
Geir Horn, University of Oslo, Norway
Ulf Geir Indahl, Norwegian University of Life Sciences, Norway
Kristian Hovde Liland, Norwegian University of Life Sciences, Norway
Vimala Nunavath, University of South-Eastern Norway, Norway
Ana Ozaki, University of Bergen, Norway
Fan Pan, Sichuan University, China
Muhammad Shafique, New York University, US
Delong Shang: Chinese Academy of Sciences, China
Jivitesh Sharma, University of Agder, Norway
Amit Singh, University of Essex, UK
Oliver Tomic, Norwegian University of Life Sciences, Norway
Adrian Wheeldon, University of Southampton, UK
Danchen Zhang, Google, USA
Xuan Zhang, Norwegian Research Centre, Norway
Fan Yang, Meta (Facebook), USA
Anis Yazidi, Oslo Metropolitan University, Norway
Ke Yu, Beijing University of Post and Telecommunication, China
International Advisory
Alex Yakovlev, Newcastle University, UK
Local Arrangements Committee
Ole-Christoffer Granmo, University of Agder, General Co-Chair
Lei Jiao, University of Agder, Program Co-Chair
Elisabeth Rasmussen, University of Agder, Local Arrangements Co-Chair

Call for paper

Important date

Draft paper submission deadline
Final paper submission deadline

Submission Topics

Topics of interest include (but are not limited to):

Tsetlin Machines
Learning Automata
Novel AI Algorithms
Explainable and Interpretable AI
Energy-efficient AI Systems Design
New AI Applications, including Signal- and Image Processing
Intelligent Data Preprocessing


Submitted manuscripts should closely reflect the final papers as they will appear in the Proceedings, and should not exceed 8 pages for regular papers and 4 pages for system demos in two-column IEEE proceeding format.

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Important Date
  • Conference Date

    Jun 20



    Jun 21


  • Mar 18 2022

    Draft paper submission deadline

  • May 20 2022

    Final Paper Deadline

Sponsored By
IEEE Computer Society
University of Agder - Norway
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