This chapter reviews current and future artificial intelligence (AI) to meet the needs of numerous students with special learning requirements. The current AI technology and AIEd Models are explored with the better diagnosis there is need to improvise the process of learning by interventions and making it efficient in a playful manner. The chapter caters to the various existing software's for the purpose and how they can be improvised in future. AI focuses on creating technology to perform functions like speech recognition, learning, and problem-solving. The technology has been widely spreading, and many AI tools have been developed to cater to the needs of exceptional learners within the classroom. The technology has developed interactive programs that help classroom teachers in differentiating instruction in the classroom. This chapter highlights the current analysis of the AI and AIEd models that have helped students with special learning needs. Furthermore, it also highlights the functioning of the AIEd model as well as how AI can help instructors and learners learn differently.

Now a day’s advancement in technology increases the use of automation, mobility, smart devices, and application over the Internet that can create serious problems for protection and the privacy of digital data and raised the global security issues. Therefore, the necessity of intelligent systems or techniques can prevent and protect the data over the network. Cyberattack is the most prominent problem of cybersecurity and now a challenging area of research for scientists and researchers. These attacks may destroy data, system, and resources and sometimes may damage the whole network. Previously numerous traditional techniques were used for the detection and mitigation of cyberattack, but the techniques are not efficient for new attacks. Today’s machine learning and metaheuristic techniques are popularly applied in different areas to achieve efficient computation and fast processing of complex data of the network. This paper is discussing the improvements and enhancement of security models, frameworks for the detection of cyberattacks, and prevention by using different machine learning and optimization techniques in the domain of cybersecurity. This paper is focused on the literature of different metaheuristic algorithms for optimal feature selection and machine learning techniques for the classification of attacks, and some of the prominent algorithms such as GA, evolutionary, PSO, machine learning, and others are discussed in detail. This study provides descriptions and tutorials that can be referred from various literature citations, references, or latest research papers. The techniques discussed are efficiently applied with high performance for detection, mitigation, and identification of cyberattacks and provide a security mechanism over the network. Hence, this survey presents the description of various existing intelligent techniques, attack datasets, different observations, and comparative studies in detail.

Technology and revolutions have powered the growth of Industry 4.0, the fourth industrial uprising. Industry 4.0 inspires progress and expansion through its efficiency capacity, as given in the literature. To improve the design quality and design efficiency of construction engineering units, this study adopts Building Information Modelling technology concepts. The implementation of Building Information Modelling in construction developments includes the digital demonstration of the fleshly and efficient features of the constituents that organise a production project. The centre for International Finance Corporation Standards' research is to achieve the goal of collaborative work in the whole life cycle of buildings and the Building Information Modelling technology building collaboration platform. Current challenges and limitations of the typical Building Information Modelling architectural collaboration platform based on the Building Information Modelling application are discussed in detail with some possible suggestions. The research shows that the development of a Building Information Modelling architectural collaboration platform based on the Building Information Modelling application software is very critical. The construction collaboration platform based on Building Information Modelling technology can achieve a higher degree of data sharing and strengthen the coordination of the work of various agencies in construction engineering.