AI is based on the principle that human intelligence can be defined in a way that a machine can easily mimic it and execute tasks, from the simplest to those that are even more complex. The goals of AI include learning, reasoning, and perception.
The core of the QSpike algorithm is based on the concept of neural networks, with proprietary implementation. The method used regards the use of multiple layers that can perceive and reason specific outcomes of results for each case in a short period, as opposed to the classic method where the neural network must "re-learn" all the analyzed data in an extended period.
This, in turn, means that the QSpike structure is optimized to conserve processing power for each case, as it does not have to run an analysis on previously scanned sets, which also speeds up the entire data processing. What this also means is that QSpike can "remember" and define rules for each specific given case and then present the results in a way particular to the situation.