Papers & research by the Literal Labs team

Though we're a young company, our contributions to the advancements of building AI models is based upon years' of research. Through our team members' time spent at Newcastle University and the University of Agdar, we've been able refine an approach to machine learning that combines data binarisation, propositional logic, and Tsetlin Machines. And we've published a lot of research on our achievements along the way — you can find some of that AI research listed below.

Benchmarks

From energy consumption to speed, Literal Labs' unique approach to AI offers major advantages versus other machine learning techniques. To give you a deeper understanding of performance and capabilities, we occasionally publish benchmark papers. Explore them, right.