The integration of Artificial Intelligence (AI) in the fields of networking and security is revolutionizing the way we approach connectivity and data protection. This special session aims to bring together innovative research and cutting-edge developments in the application of AI to these critical areas. We invite researchers, academicians, and industry professionals to submit their original and unpublished work for consideration.

Cognitive information processing (CIP) currently plays important roles in many applications such as attention, encoding, memory, artificial intelligence (AI), and cognitive computing latest advances in machine thinking. As well as the characteristics of the human visual system, its information and limitations must be first clearly studied, and the artificial systems should be then developed. In this session, we discuss the wide range topics of human cognitive functions, advancements, limitations, and possibility for artificial system development. The topics of interest that fascinating area of this session are as follows:

Quantum computing is the next big thing in the world of technology. Over the past decades or so, leading international companies such as Google and IBM have been heavily invested in the development of quantum computer and quantum software. Research in quantum computation have skyrocketed into a new height. The vast power of quantum computation could be applied to solve computational problems that are currently out of reach by the currently most powerful supercomputer. Applications of quantum computation are tremendous, including optimization and artificial intelligence.

The Artificial Intelligence (AI) in the area of medical and healthcare has revolutionized in term of diagnosis, treatment, and disease management. As the contribution for innovative researchs continues to grow, we invite researchers, practitioners, and experts to contribute their research findings and insights to our upcoming conference on the special session on AI in Medical and Healthcare.

Modern computing techniques can store, process, and analyse large amounts of and diversity of data. These techniques could correlate a variety of datasets to gain insight and offer new services and applications. Among others, technologies that are playing a major role in gaining these capabilities are the Internet of Things, Edge Computing, Cloud Computing, High Performance Computing and High Performance Data Analytics. Although developed independently, the integration and interconnection of these technologies, referred to as Computing Continuum, has accelerated the growth of data-driven applications and unleashed numerous opportunities for industry, science, individuals, and society at large. This system of systems can execute complex tasks across multiple systems and multiple technologies. At the same time, numerous challenges are associated. Big data lakes are the inevitable progression of data warehouse technologies that many industries have started to adopt as data management systems. Recently, various research works have arisen on big data lakes under the three research axes, i.e., models, frameworks, and techniques. Also, other research has targeted the marketplace and data pricing problems with all their associated difficulties.

Geo Intelligence (or Geospatial Intelligence) is information derived from analysis of various images and data associated with a specific geographical location. Geo Intelligence is a practice of collection, interpretation, and information extraction from remote sensing data, GNSS data, GIS data in addressing social issues related with disaster, agriculture, environment, urban, and so on. This special session focuses on the merging of machine learning techniques with geospatial data and big data applications.