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"Cognitive Computing is a new topic which aims to simulate human thought processes using computers that self-learn through data mining, pattern recognition, and natural language processing. This book focuses on the applications of Cognitive Computing in areas like Robotics, Blockchain, Deep Learning, and Wireless Technologies. This book covers the basics of Green Computing, discusses Cognitive Science methodologies in Robotics, Computer Science, Wireless Networks, and Deep Learning. It goes on to present empirical data and research techniques, modelling techniques and offers a data-driven approach to decision making and problem solving. This book is written for researchers, academicians, undergraduate and graduate students, and industry persons who are working on current applications of Cognitive Computing"--

Electronic digital computers.

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The youngest generation of "digital natives" will enjoy exploring the stories of how the first computers led to the latest cutting-edge technology. From Charles Babbage's Difference Engine and Ada Lovelace's programming skills to groundbreaking biotechnology and haptic technology, this awesome volume examines the STEM concepts behind the electronics revolution and imagines what might come next. Alongside high-interest content about computers, cameras, and other digital devices, this book asks readers to think through the ways that technology improves our lives, how ideas are communicated efficiently across long distances, and how information is converted into code.

Electronic digital computers --- Digital media

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Electronic digital computers --- History. --- General Electric Company.

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Random Number Generators, Principles and Practices has been written for programmers, hardware engineers, and sophisticated hobbyists interested in understanding random numbers generators and gaining the tools necessary to work with random number generators with confidence and knowledge. Using an approach that employs clear diagrams and running code examples rather than excessive mathematics, random number related topics such as entropy estimation, entropy extraction, entropy sources, PRNGs, randomness testing, distribution generation, and many others are exposed and demystified. If you have ever Wondered how to test if data is really random Needed to measure the randomness of data in real time as it is generated Wondered how to get randomness into your programs Wondered whether or not a random number generator is trustworthy Wanted to be able to choose between random number generator solutions Needed to turn uniform random data into a different distribution Needed to ensure the random numbers from your computer will work for your cryptographic application Wanted to combine more than one random number generator to increase reliability or security Wanted to get random numbers in a floating point format Needed to verify that a random number generator meets the requirements of a published standard like SP800-90 or AIS 31 Needed to choose between an LCG, PCG or XorShift algorithm Then this might be the book for you.

Random number generators. --- Generators, Random number --- Electronic digital computers

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Fault-tolerant computing --- Software engineering --- Electronic digital computers --- Reliability