Logical AI, developed by Literal Labs, introduces a groundbreaking logic-based artificial intelligence architecture designed to surpass traditional neural networks in speed, efficiency, and explainability. This innovative approach enables AI models to operate up to 54 times faster than conventional neural networks and 250 times faster than XGBoost, all while maintaining a comparable accuracy within ±2%. By processing data locally on devices ranging from microcontrollers to servers, Logical AI significantly reduces energy consumption—up to 52 times less than neural networks—and minimizes reliance on cloud computing, thereby lowering operational costs and enhancing data privacy.
Developers of logic-based AI model training tools whose algorithms utilise propositional logic, Tsetlin Machine, and data binsarisation.