"Innovations in Intelligent Machines - 1" is a specialized book that addresses the latest developments in the field of intelligent machines. It provides a comprehensive analysis of the efforts to integrate human intelligence into computer-based devices. Unlike previous research that heavily focused on computational intelligence, this volume emphasizes the importance of empirical validation. The authors discuss how human intelligence is not solely based on calculations but is also shaped by interactions with the environment. A central theme of the book is the ability to learn from mistakes, which serves as a foundation for the development of collaborative intelligence. The editors, Javaan Singh Chahl, Akiko Mizutani, and Mika Sato-Ilic, pose fundamental questions about the nature of intelligence and intelligent machines, illustrating these through practical system implementations in the individual chapters.