Our Success
is Your Success.
The ability to listen, the ability to read, the ability to see each other's needs, to really understand what creates value for the partner.
Research Centers and Universities
We help bring out the value,
the genetic information assets, your work.
IKM® algorithms are based on artificial neural networks, CNN (Convolutional Neural Network) and ViT (Vision Transformer) types. Such Networks are complex adaptive systems that reproduce in a computational model the functioning and behaviour proper to the human brain.
The Networks are composed of multiple layers of highly interconnected artificial neurons, which process information by dynamically responding to external inputs and translating the received stimulus complex into binary digits.
The first layer of the Network (Input Layer) identifies and processes the input data observed in the video stream under examination. A series of intermediate layers (Hidden Layers) takes care of analyzing the input data to interpret them and identify the complex structure of relationships present among them. The final layer (Output Layer) provides the result of the analysis performed by the intermediate layers, communicating the information of interest that it has selected and extracted.
IKM® Neural Networks are designed so that they can carry out the initial iterations without methodological constraints, so that the identification of internal relationships among the data present in the video scene is not limited by pre-existing classifications, thus expanding the possibilities for discovery and learning by the algorithms.
