Narratives in Teaching Artificial Intelligence Technologies

The article considers the development of a narrative approach to teaching artificial intelligence in a departmental university based on the formation of simulator systems that allow implementing integrated approaches to pattern recognition on X-ray images obtained using inspection and inspection complexes. The decisive rule for evaluating learning outcomes in the context of the developed model is the possibility of comparing the results with the results of pattern recognition obtained using the author’s method of automatic object recognition based on a neural network approach.