Preface

Systems mimicking the human brain have a long history. The recent advancements brought about by the Industry Revolution 4.0 and Smart Society 5.0, however, have led to unprecedented volumes of Innovative Technologies in Intelligent Systems and Industrial Applications. These mostly depend on the design of new algorithms applied to existing historical patterns and decision-making solutions such as building critical (time VS space) systems using artificial intelligence (AI) and machine learning (ML). Over the past decade, this has produced innovative technologies for smart manufacturing to better satisfy global needs and demands. However, despite these recent advancements, there is still an urgent need to find optimal solutions for real-world applications, in particular mission-critical systems in terms of reliability, precision, and repeatability. Furthermore cross-disciplinary research engagement is vital to solving cross-domain problems encountered during daily life for which embedded hybrid intelligence (AI and human intelligence) is vital if we are to develop hybrid intelligent systems to build a truly smart society.