A Look Behind the Scene
Similar to the human brain, the Q-Engine is powered by components that are continuously learning, communicating and adapting to form a single unit that's robust in the face of surprise. The engine is constantly making prediction about future events and comparing that with the actual outcome to improve on its predictions. After the system has accomplished a task through the "Intelligent Behavior" module, it evaluates it's accuracy and transmits back the need (when necessary) for more relevant data sources.
QOPIUS ENGINE CHARACTERISTICS
ARTIFICIAL MOTIVATION AND CURIOSITY
The Qopius Engine has the ability to discover by itself the objectives that will accelerate its development.
The integration of new knowledge is done so that it does not disturb the existing one. The importance of each informational stream is constantly influences and weighted depending on their likelihood and usefulness. The Qopius engine has the ability to select modalities that give high performances at a time and inhibit the others.
The Engine always tries to predict the next information it will receive. Mis-predicted information receive high attention from the engine and lead to curiosity and learning.
The structure of the engine has been imagined so that we can follow (and potentially influence) the development of the artificial intelligence.
A few of the techniques behind the engine include deep learning, evolutionary algorithms and decision tree learning
Search Optimal Parameters in high dimensional space
Multimodal integration fusion of different sources
Combining models and functions
Contact us to learn more on how these techniques are put in action