Knowledge Building


Collect data coming from your sensors and visualize for annotation


Train the neurons by showing them examples from a training set


Verify the recognition of new datasets


Save the knowledge of the neurons for use on the deployment platform

A simple workflow…

A Knowledge Builder (KB)  lets you train the neurons with annotated data sets and verify that the training is appropriate and sufficient to deliver recognition with acceptable accuracy and throughput for your application. The outputs are knowledge files which can then be loaded on systems equipped with neurons to reproduce the same recognition. Regardless of the type of data to comprehend, the Knowledge Builder features diagnostics guiding you through the process of learning for the best throughput and accuracy.

NeuroMem Knowledge Builder

Manipulated vectors, whether extracted from text, audio, siganl, image, video, etc.

Image Knowledge Builders

Manipulates images; Feature extractions for discrete objects, surface; texture, etc.