A new world of AI-enabled devices that are 10,000 times more energy efficient.

Spun out of Newcastle University, Literal Labs is making a significant impact in the field of AI, with optimised machine models that are 10,000 times more energy efficient than today’s neural networks. Benchmarking shows they can also achieve 250 times faster inferencing than XG Boost using software only and up to 1,000 times faster interfacing when using hardware acceleration.

The architecture requires significantly fewer resources to solve AI problems, and is able to intelligently compute on devices with minimal energy usage and little or no internet coverage.