Darshana Abeyrathna Kuruge
Darshana completed his BSc in Mechatronics Engineering at AIT university, Thailand in 2015. Then he joined the Big Data research group at Thammasat University, Thailand for his MSc studies and graduated in 2017. Darshana completed his PhD in Computer Science, specializing in Machine Learning, from the University of Agder, Norway, in 2022. His research interests are in Tsetlin Machine, Artificial Neural Networks, Data Mining, Optimization, and Operations Research. Currently, at DNV, he is working as a senior researcher.
Session
We present Tsetlin.jl, a Julia implementation of Tsetlin Machines, which are interpretable machine learning models based on propositional logic. Tsetlin Machines have gained prominence by achieving high accuracy on a variety of problems, while also being efficient in terms of speed, memory use and energy consumption. While the original Tsetlin Machine works on binary data, later extensions can handle continuous and categorical data, and have found applications to images, text and speech. Tsetlin