Computer vision

From its inception, one of the main aims of AI was to mimic the human information processing system. In the mid-1970s to early 1990s, the logical reasoning process was attempted to be simulated through discrete mathematics propositions and rules (e.g., A OR B AND C). However, there are several human information processing systems that work faster than can be explained through explicit symbol processing using logical operators. Pattern recognition, including face recognition, and natural language processing are a few such examples. Although the concept of neural networks emerged in the 1950s, it was not until the emergence of deep learning in the first decade of the 21st century that the power of AI was appreciated like never before through Nobel Prizes and the Turing Prize. One of the important applications of AI is the advancement in computer vision and enabling machines to see and understand the world as we humans do.