Recent news has touted leaps in data-driven AI innovations. Such systems are undeniably varied in the specifics of their approach, but almost all fall into the category of collecting data, training a system, and making predictions.
This approach has already made many meaningful contributions, but thinkers are more and more cognizant of the limitations of such systems on problems that require understanding the real world. Statistical prediction is useful, but the AI of our dreams seems out of reach of current data-prediction systems.
At Titan Virtual, we take a different approach. We believe the intelligence of the human mind comes from its cognitive components, conceptualization, language, inference and imagination, rather than from simple statistical prediction models. Our technology has modeled these cognitive components into an integrated system that thinks before predicting.
Instead of working with raw data our agents autonomously abstract patterns into discrete concepts and the events that form their relationships over time. This is how AI can gain meaningful, explainable insights into the real world.