Computational Intelligence: A Broader Horizon

Current developments of intelligent software technology have been playing an important role in a broad range of innovative applications. Major industries such as automotive, telecommunications, banking, e-business, automation, and recent smart applications in artificial intelligence (AI), machine learning (ML), deep learning, robotics, internet of things and smart devices, smart environment and technology, and many others are highly dependent on intelligent computer software for their basic operations. Moreover, the integration of artificial intelligence with machine learning, deep learning, and block chain are proving to be quite a powerful combination for improving virtually every industry in which they are implemented. AI and ML applications to academics to automobiles to railways to Aviation to healthcare industries are helping to significantly improve reliability, services, safety, and protection to human life and lifestyle. This keynote presentation will address recent applications of intelligent software systems along with the future potential growth of AI. Fundamental concepts and limitations connected with the reliability of intelligent software systems will be introduced. Several issues of software validation techniques involved in maximizing the reliability of a large and complex intelligent software system will be explored. The discussion and presentation may help identify new and innovative research directions for further study and development in computational intelligence with wide range of emerging applications along with the challenges and opportunities.