Machine learning algorithms allow computers to learn without being explicitly programmed. Their application is now spreading to highly sophisticated tasks across multiple domains, such as medical diagnostics or fully autonomous vehicles. While this development holds great potential, it also raises new safety concerns, as machine learning has many specificities that make its behaviour prediction and assessment very different from that for explicitly programmed software systems. This book ad...

This book is the first authoritative text on the role that physicists play in solving the inherently multidisciplinary science and technology challenges in food manufacturing. Topics range from designing safe, nutritious and great-tasting foods to the process technology and manufacturing know-how needed to deliver compelling product innovation. The book provides a foundational resource for the transformation of engineering and materials characterisation in the food and pharmaceuticals indu...

This book dives into the vanguard of robotics and AI with this scholarly edition, a compilation of pioneering research from the 11th International Conference on Robot Intelligence Technology and Applications (RiTA) Volume 2. This book focuses on ‘Machine Learning and AI Applications’, which elucidates the transformative power of contemporary AI across a multitude of domains, from medical diagnostics to natural language comprehension. This book uncovers innovative models, avant-garde traini...

This book delves into the forefront of robotics and AI with this scholarly collection from the 11th International Conference on Robot Intelligence Technology and Applications (RiTA) Volume 1. This book consists of two Sections/Chapters, namely Sensors, Signals and Systems and Robotics, Automation and Control. The former elucidates the pivotal role of sensors, signals and systems in propelling advancements in robotics and AI, while the latter illuminates the transformative power of autonomo...