"Nowadays, artificial intelligence (AI) has become a key element in any daily life or industrial activity and its use has drastically increased during the last decade. Many methods of IA are implemented, such as machine learning and nature-inspired optimization algorithms. Material science is one of the sciences that use AI techniques. These techniques improve many quality metrics, such as reliability and ergonomy. The book Advances in Artificial Intelligence in Material Science allows to highlight the recent challenges in this field and helps the readers to understand the subjects and develop future works. It attracts the latest methods and applications of AI in material science. The chapters include a wide range of contributions and overviews. Topics of interest include but are not limited to Material processing, Properties prediction, Conventional machining, such as turning, boring, grinding, and milling, non-conventional machining, such as electrical discharge machining, electrochemical machining, laser machining, plasma machining, ultrasonic machining, chemical machining, and water-jet machining, Machine tools, such as programming, design, and maintenance. Techniques of AI include but are not limited to Machine learning, Fuzzy logic, Genetic algorithms, Particle swarm optimization, Cuckoo search, Greywolf optimizer, and Ant colony optimization"-- Provided by publisher.