The broad set of smart applications for MI is organized into four themes covering all areas of the economy and social life, namely (i) Smart Environment, (ii) Smart Social Living, (iii) Smart Business and Manufacturing, and (iv) Smart Government.

Application of Machine intelligence in Smart Societies: A critical review of the opportunities and risks.- Machine Learning based Recommender Systems for Crop Selection: A Systematic Literature Review.- Convolutional Neural Network for Identification and Classification of Weeds in Buckwheat Crops.- Cluster analysis as a tool for the territorial categorization of energy consumption in buildings based on weather patterns.- A Quantum Machine Learning Model for Medical Data Classification.- Supporting and Shaping Human Decisions through Internet of Behaviors (IoB): Perspectives and Implications.- A machine learning based approach for diagnosing pneumonia with boosting techniques.- Harnessing the Power of ChatGPT for Mastering the Maltese Language: A Journey of Breaking Barriers and Charting New Paths.- A new autonomous navigation system of a mobile robot using supervised learning.- Evolutionary AI-Based Algorithms for the optimization of the Tensile Strength of Additively Manufactured Specimens.- Securing data conveyance for dynamic source routing protocol by using SDSR-ANNETG technique.- REGIONAL LANGUAGE TRANSLATOR AND EVENT DETECTION USING NATURALLANGUAGE PROCESSING.

This book provides insights into recent advances in Machine Intelligence (MI) and related technologies, identifies risks and challenges that are, or could be, slowing down overall MI mainstream adoption and innovation efforts, and discusses potential solutions to address these limitations. All these aspects are explored through the lens of smart applications.  The book navigates the landscape of the most recent, prominent, and impactful MI smart applications. The broad set of smart applications for MI is organized into four themes covering all areas of the economy and social life, namely (i) Smart Environment, (ii) Smart Social Living, (iii) Smart Business and Manufacturing, and (iv) Smart Government. The book examines not only present smart applications but also takes a look at how MI may potentially be applied in the future.  This book is aimed at researchers and postgraduate students in applied artificial intelligence and allied technologies. The book isalso valuable for practitioners, and it serves as a bridge between researchers and practitioners. It also helps connect researchers interested in MI technologies who come from different social and business disciplines and who can benefit from sharing ideas and results.

Presents a comprehensive background of the latest advances in both MI and related technologies Navigates the landscape of the most recent, prominent and impactful MI smart applications Aimed at researchers and postgraduate students in applied artificial intelligence and allied technologies