Fast, efficient, and explainable AI using Tsetlin machines and logic approaches

Literal Labs has developed an ML technique that uses a combination of propositional logic and Tsetlin Machines to create fast, efficient, and explainable AI.

We all have a sense that AI has the potential to change the world for the better; to push humanity forward. To fulfil its potential, artificial intelligence must run at the edge wherever it is needed, and not be dependent on cloud connectivity. To meet society's needs, AI has to be explainable, it has to be fast, and it has to be economically and energy efficient. Literal Labs is working to make that happen.

Through years of collaborative research between Newcastle University (UK) and the Center for AI Research at University of Agdar (Norway), an approach to machine learning emerged that uses a combination of data binarisation, propositional logic, and Tsetlin Machines. It's that technological combination upon which we were founded. Spun out from Newcastle University in 2023, Literal Labs is on a mission to create fast, efficient, and explainable AI perfect for edge use.