AI‐Based Computational Intelligence Theory
Selvaganesan Jana, S. Arunmozhiselvi, E. Preethi, S. Thangam · 2024
AI has increased in importance in the modern world due to its computing capacity and ability to transform a variety of industries. AI systems can process and analyze large amounts of data to produce intelligent insights and lead deliberations. It provides tailored experiences by analyzing user data and activity patterns. It includes a range of methods and procedures intended to use computational models to resolve challenging real-world issues. Computational intelligence research has several advantages for both individuals and society as a whole. Technical advancements in this field aid in data processing, extracting useful insights that may be quickly utilized by intelligent systems powered by AI, giving organizations a competitive edge and enabling them to make decisions based on facts. This chapter deals with discovering various dimensions of computational intelligence servicing for the society development and transforming business strategies that in turn helps in achieving economic advancements. This chapter focuses on the different aspects of computational intelligence that serve to enhance society and change corporate tactics, which, in turn, promotes economic growth. Hybrid models and ensemble techniques adapted by organizations are explored that contribute to improve predictive analytics tasks for automated machines. Explore the practical uses of computational intelligence methods based on AI, including robotics, speech and image recognition, natural language processing, optimization issues, and data analytics. The practical applications of computational intelligence techniques based on AI are examined in this chapter, including robotics, speech and image recognition, natural language processing, optimization problems, and data analytics. This chapter will open up the views of future researchers and scholars that help to advance computational intelligence to the next level.