New Sapience has achieved a breakthrough in computing: Compact Knowledge Modelling, a software technology that endows machines with human knowledge that has been transformed into a computable form. 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 human knowledge.
Knowledge is a mental model of reality that allows us to envision a world that may or not come to pass, depending on our actions. The ability to “predict the phenomena” is the cornerstone of the scientific method, one that was already in play when the first human progenitor made the first tool and used it to change its world.
Until now our machines could not do this – not even a little. They process data and information, but the creation of knowledge has been beyond their capability.
The idea of an “expert system;” a computer program that embodies some domain of human expertise to operate complex systems or analyze and diagnose complex problems, has been a dream of computer science for over 50 years. Despite early optimism about technologies such as rule-based inference engines going back to the 1980s, software that emulates human logic and decision-making is, today, still highly code intensive. Whether the domain is industrial data monitoring or business rules, such applications are very expensive to design, develop and maintain.
Even when the investment is made, today’s automation software is brittle; subject to total failure when confronted with a problem that lies outside the anticipated scope of the program. Where the cost of failures is high, as with transportation systems or network management, the solution is to keep humans in the loop, but this is a less than optimal solution. Human knowledge confers flexibility, but people don’t perform as well as computers in data-intensive environments, beside humans are also very expensive.
All the knowledge is in humans heads. Time to change that.
CKM is poised to revolutionize the automation industry by providing a practical way to capture and process human knowledge in software without extensive application specific code. New Sapience has the operational software and know-how today to start building a new generation of expert systems – ones that combine the flexibility that comes from broad world or domain knowledge with computers capability to process vast quantities of data.
People need to be able to talk with their technology – but none of the “conversational interfaces” such as Apple’s Siri, Google Assistant, Amazon Alexa, Microsoft Cortana, Facebook Messenger, etc. can actually converse. In fact, they don’t actually comprehend a single word you say to them.
So far, these companies have a level playing field. The narrow AI tools they have at their disposal, lacking in the capacity to create or process knowledge, are ill suited to language comprehension and progress has been painfully slow. Even today, after $millions in investments, the proliferating crop of natural language digital personal assistants are just as likely to be made fun of as made use of.
As likely to be made fun of as use of.
CKM enables a vast number of potentially transformative applications and capabilities. Perhaps most exciting is the world’s first software that comprehends natural human language in the same sense that humans do. CKM provides an internal model of the world or domain that embodies the same concepts and relationships that people recognize as objects of their own thoughts. This model is, by design, completely independent of natural language vocabulary and grammar. The system processes language by interpreting it as instructions to create new knowledge models through connecting existing model elements into new configurations. This process is cognitive leaning or comprehension. Read more about natural language comprehension.
The result is something the world has never seen before: a digital entity with the core knowledge needed to understand the meaning of natural language words and grammar. In short out technology can do what no other software can do because it is the only software that understands what the words mean. Each instance of our software becomes a unique individual as it learns, like a person, through reading and conversation. We call these entities sapiens.