Abstract Today, Artificial Intelligence is achieving prodigious real-time performance, thanks
to growing computational data and power capacities. However, there is little knowledge …

Using logical clauses to represent patterns, Tsetlin Machine (TM) have recently obtained
competitive performance in terms of accuracy, memory footprint, energy, and learning speed …

The Tsetlin Machine (TM) is a recent machine learning algorithm with several distinct
properties, such as interpretability, simplicity, and hardware-friendliness. Although …

Using finite-state machines to learn patterns, Tsetlin machines (TMs) have obtained
competitive accuracy and learning speed across several benchmarks, with frugal memory …

The Tsetlin Machine (TM) is a novel machine learning algorithm with several distinct
properties, including transparent inference and learning using hardware-near building …

Recent advancements in natural language processing (NLP) have reshaped the industry,
with powerful language models such as GPT-3 achieving superhuman performance on …

Tsetlin Machines (TM) use finite state machines for learning and propositional logic to
represent patterns. The resulting pattern recognition approach captures information in the …

Tsetlin Machine (TM) is a new machine learning algorithm that encodes propositional logic
into learning automata---a set of logical expressions composed of boolean input features …

Data representation plays a crucial role in natural language processing (NLP), forming the
foundation for most NLP tasks. Indeed, NLP performance highly depends upon the …

Tsetlin Machine (TM) is an interpretable pattern recognition algorithm based on
propositional logic, which has demonstrated competitive performance in many Natural …