Natural and Artificial Intelligence: Overview

AI has been a phenomenal revolution over the last two decades, and the notion of AI has completely changed to data mining. The main fuel for each AI application is data and how quality data we provide decides the success of any AI model. Emergence of real intelligence to natural intelligence and in turn to artificial intelligence clearly indicated that there is a need to analyze different techniques of AI. This chapter mainly focuses on the tradeoff between machine learning and deep learning with respect to the performance and put forth key limitations of these popular techniques. This chapter also focuses on the need of machine thinking in the coming years in line with cognition and human-like reasoning. Finally this chapter concludes with the advantages and limitations of model-centric AI and data-centric AI. In fact, this chapter also presents the debatable point of which AI model out of this would be a better match for machine thinking.