Papers & research by the Literal Labs team

Research by our team

An Optimised Toolbox for Advanced Image Processing with Tsetlin Machine Composites

MATADOR: Automated System-on-Chip Tsetlin Machine Design Generation for Edge Applications

REDRESS: Generating Compressed Models for Edge Inference Using Tsetlin Machines

Systematic Search for Optimal Hyper parameters of the Tsetlin Machine on MNIST Dataset

Visualization of Machine Learning Dynamics in Tsetlin Machines

Self-timed reinforcement learning using Tsetlin Machine

Learning automata based energy-efficient AI hardware design for IoT applications

Interpretable Tsetlin Machine-based Premature Ventricular Contraction Identification

Interpretable Text Classification in Legal Contract Documents using Tsetlin Machines

Low-Power Audio Keyword Spotting using Tsetlin Machines

The Tsetlin Machine — A Game Theoretic Bandit Driven Approach to Optimal Pattern Recognition with Propositional Logic

An Introduction to Tsetlin Machines

Tsetlin Machine Unified - Github Code Base