Computers are the most complex machines that have ever been created. Very few people really know how they work. This book tells you how they work; no technical knowledge is required. It explains the operation of a simple, focusing on computer hardware and software related. This book shows that computer hardware isn’t so complicated and can be easily understood by anyone. This is a short book, but it must be studied carefully. This means that you will have to read some parts more than once to understand them. Get as far as you can. You will be much more knowledgeable about how computers work when you are done than when you started, even if you are not able to get through the whole text. This is a technical book though it is aimed at a non-technical audience. Though this book takes considerable effort to understand, it is very easy for what it explains. After you have studied this book, it will seem simple if you go back and read it.

Quantum computing has shown a potential to tackle specific types of problems, especially those involving a daunting number of variables, at an exponentially faster rate compared to classical computers. This volume focuses on quantum variants of machine learning algorithms, such as quantum neural networks, quantum reinforcement learning, quantum principal component analysis, quantum support vectors, quantum Boltzmann machines, and many more.

Entrepreneurship, a dynamic force driving economic growth and innovation, faces multifaceted challenges in today's global landscape. Small firms, vital for economic diversity and innovation, need more resources and technological capabilities to compete with larger enterprises. Moreover, the rapid pace of technological advancement, while offering growth opportunities, also presents complexities in adoption and integration. Cultural, regulatory, and institutional differences further compound these challenges, hindering entrepreneurial success and regional development. Real-World Tools and Scenarios for Entrepreneurship Exploration offers a comprehensive solution to the complexity entrepreneurs and small businesses face. The book equips readers with the latest trends and insights into entrepreneurial practices worldwide by presenting real-world scenarios. Through comparative analyses, it provides a deep understanding of the institutional frameworks impacting entrepreneurship and offers strategies for overcoming technological burdens. The book also delves into the psychology of successful entrepreneurs, fostering an entrepreneurial mindset crucial for navigating challenges and seizing opportunities.

This title gives students an integrated and rigorous picture of applied computer science, as it comes to play in the construction of a simple yet powerful computer system.

Applying mechanisms and principles of human intelligence and converging the brain and artificial intelligence (AI) is currently a research trend. The applications of AI in brain simulation are countless. Brain-inspired intelligent systems will improve next-generation information processing by applying theories, techniques, and applications inspired by the information processing principles from the brain. Exploring Future Opportunities of Brain-Inspired Artificial Intelligence focuses on the convergence of AI with brain-inspired intelligence. It presents research on brain-inspired cognitive machines with vision, audition, language processing, and thinking capabilities. Covering topics such as data analysis tools, knowledge representation, and super-resolution, this premier reference source is an essential resource for engineers, developers, computer scientists, students and educators of higher education, librarians, researchers, and academicians.