This book, “Mind and Machine: Exploring the Analogies between the Human Brain and Artificial Intelligence”, offers a deep dive for engineering students and professionals. It bridges the gap between neuroscience and AI, exploring how the brain works (neurons, networks) and how AI has mirrored this (artificial neurons, neural networks). Through comparisons, readers will see how the brain can inspire engineering solutions in robotics, machine learning, and more. Each chapter tackles key areas like learning, memory, and even consciousness, while exploring the potential for Artificial General Intelligence (AGI). Practical applications are woven in, showcasing how these concepts can be used for tasks like perception and decision- making. The book doesn’t shy away from the ethical considerations of advanced AI, prompting discussions on bias, privacy, and the future of work. By emphasizing collaboration and future directions, this book equips readers to navigate the exciting world of integrating minds and machines in engineering.
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