Software Simulations have been used extensively for all kinds of applications across all industries for decades. It is broadly used to simulate the response of a real physical system in its environment. However, a strong link usually does not exist between the simulation predictions and the results in real-time. We believe it is time to bridge that gap and give the simulation software the intelligence to learn from each simulation error to improve its future performance.   

 

Qopius Engine adresses the two following simulation applications :

Simulation Complexity & Time Adaptation

One concern for the one who builds a simulation model is its complexity. If the simulation model does not have enough degrees of freedom, the results of the simulation will not be consistent with the physical system. If the model is too complex, it will prevent running a large number of simulations with limited computational power.

Qopius Engine adjusts the complexity of the simulation model to a given running time. The Artificial Intelligence constructs a simulation model that has the optimal complexity with respect to the available computational power.

It will provide access to a hierarchy of simulation models having different complexities: select the one that is the most suitable at a specific time.

 

Merging with reality

Fine-tuning the parameters of a simulation model appears to be a sensitive and crucial task.

Qopius proposes a novel approach:

Experimental data collected during operations contain very valuable information.

Qopius proposesto integrate this knowledge into your simulation software to fit with the reality.

The Qopius Engine will force the simulation model to converge toward the true physical system.

Just imagine the possible applications...