Artificial intelligence is a branch of computer science and describes the independent execution of a task by a machine, for which usually a human-like level of intelligence is needed for the solution.
The interest in the topic of artificial intelligence has been rising again for the first time since 2016 and because of almost daily new reports in current journals about further progress and new successes in the field of technology and new, promising applications in public perception. The discipline is not new and can be traced back to the first half of the 20th century.
The focus is on maximizing customer satisfaction based on the added value achieved by machines. Thus, simultaneously with the penetration of artificial intelligence into our society, the ethical question of possible discrimination by algorithms or unbalanced data comes to the fore. Here, the department is still in its infancy and is in constant change and progress.
Machine learning belongs to the family of artificial intelligence. Also in this area of expertise is so-called representation learning, ie machine pattern recognition, which also includes shallow networks and deep learning. The goal of deep learning is to develop a computational model that has the task of optimally connecting the input values (also known as input neurons, predictors) and the corresponding classes.