Today, Machine Learning (ML) or Deep Learning applications are ubiquitous and already credited with changing the way we live in many ways. Clearly it is here to stay. Machine Learning’s successes have been so widely publicized that the term has been become nearly synonymous with Artificial Intelligence. But ML today has some fundamental limitations that are now being recognized by some of the most influential minds in the field.
New Sapience has achieved a breakthrough in computing: Machine Knowledge, a software technology that enables computers to contain and process compact models of the world. It is the result of a multi-disciplinary approach combining state-of-the-art computing techniques, practical experience in modeling complex real-world systems, and an original theory about the underlying structure of knowledge.