Application of Advanced Computing and Artificial Intelligence in Engineering and Science, 2nd Edition

Dear Colleagues,

The second edition of "Application of Advanced Computing and Artificial Intelligence in Engineering and Science" builds upon the rapid evolution of artificial intelligence (AI) over the past decade. What was once confined to scientific experimentation in laboratories has now blossomed into powerful real-world applications across various industries. This remarkable progress encompasses a diverse array of AI methods and techniques, spanning both symbolic and sub-symbolic information processing. These approaches have matured over a relatively short history of just over 50 years and can be categorized into three interlinked classes, which encompass representation, reasoning, and learning methods.

This new edition places a strong emphasis on the integration of modern AI techniques with advanced computing technologies, enabled by computer networks and emerging computing architectures. Key contemporary trends in advanced computing architectures, such as high-performance computing, cloud computing, edge computing, and fog computing, as well as the Internet of Things (IoT), distributed ledgers, and blockchains, are thoroughly explored.

In the present day, AI technologies have permeated nearly every facet of life and society. The latest advancements in AI methodologies and technologies have not only showcased remarkable achievements but have also introduced fresh scientific and practical challenges. These challenges require careful investigation by the research community. One particularly noteworthy area of focus is the synergy between cutting-edge AI technologies and applications and advanced computing architectures. A striking example of this synergy is the intersection of decentralized computing and machine learning, which has given rise to the concept of federated learning.

This Special Issue covers a broad spectrum of topics that revolve around the application of advanced computing and artificial intelligence techniques. These encompass, but are not limited to:

• Machine learning: encompassing various facets such as classification, clustering, neural networks, deep learning, reinforcement learning, and federated learning.
• Knowledge representation and ontologies: examining how information is structured and organized.
• Reasoning: including rule-based systems, logic programming, constraint satisfaction, and theorem proving.
• Imprecise and uncertain reasoning: encompassing Bayesian and fuzzy approaches.
• Combinatorial optimization and heuristic search: methods for solving complex problems.
• Bio- and nature-inspired computing: drawing inspiration from biological and natural systems.
• Natural language and speech processing: focusing on human language and voice recognition.
• Computer vision: the field of enabling machines to interpret and understand the visual world.
• Distributed multi-agent systems: studying systems with multiple interacting components.
• Agent-based modeling and simulation: emphasizing models built around autonomous, interacting agents.
• High-performance, edge, fog, cloud computing, IoT: modern computing paradigms.
• Distributed ledgers and blockchains: technologies for decentralized and secure data management.

These technologies are applied to various fields of science and engineering, including, but not limited to:

• Autonomous driving: the development of self-driving vehicles.
• Electric vehicles: advancements in electric mobility.
• Smart homes, smart cities, and smart future: innovations in urban living.
• Hazard modeling and mitigation: strategies to anticipate and manage risks.
• Manufacturing and Industry 4.0: the evolution of manufacturing processes.
• Remote sensing and operation: the use of technology to collect data and control processes from a distance.
• Robotics, automation, and intelligent control: the advancement of automated systems.
• Energy management: efficient handling of energy resources.
• Mobility, transportation, and logistics: enhancements in the movement of people and goods.
• Agriculture 5.0 and smart farming: technological transformations in agriculture.
• Healthcare and drug discovery: innovations in the medical field and pharmaceutical research.

The second edition of this publication serves as a vital resource for researchers, practitioners, and anyone interested in the dynamic and evolving landscape of artificial intelligence and advanced computing applied to science and engineering. It delves deep into the transformative power of AI and advanced computing technologies and their impact on the world we live in.

Prof. Dr. Costin Badica
Dr. Kalliopi Kravari
Prof. Dr. Nick Bassiliades
Dr. Theodoros Kosmanis
Guest Editors

Manuscript Submission Information

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• machine learning
• reasoning and knowledge representation
• heuristic search
• natural language processing
• computer vision
• multi-agent systems
• high-performance, edge, fog and cloud computing
• bio- and nature-inspired computing

• Application of Advanced Computing and Artificial Intelligence in Engineering and Science in Mathematics (11 articles)