Cybernetical Intelligence is a comprehensive guide to the field of cybernetics and neural networks. The book covers the historical background of cybernetics and its influence on the development of neural networks, as well as the mathematical foundations of these technologies. The book provides a detailed explanation of various types of neural networks, including feedforward networks, recurrent neural networks, and convolutional neural networks, and their applications to different real-world problems. The book also delves into the different activation functions, loss functions, and optimization techniques used in training neural networks, making it a valuable resource for practitioners and students alike. The book includes real-world case studies and applications to help readers understand the practical applications of these technologies, as well as the limitations and challenges they face. The book also highlights the ethical and societal implications of artificial intelligence and cybernetics, and the need for responsible and transparent development and deployment of AI systems.

Prof. Dr. Kelvin KL Wong, of The University of Western Australia, is a distinguished expert in medical image processing and computational science, earning his Ph.D. from The University of Adelaide. With a strong academic background from Nanyang Technological University and The University of Sydney, he has been at the forefront of merging the fields of cybernetics and artificial intelligence (AI). He is renowned for coining the term "Cybernetical Intelligence" and is the inventor and founder of Deep Red AI.