Smart Sensors and Deep Learning Solutions for Future Intelligent Systems: New Requirements from Software to Silicon (Studies in Computational Intelligence)
This book introduces readers to recent activities and achievements regarding “hardware and software design issues on sensors and deep learning” in various contexts, as well as the technologies used to do so.
It presents cutting-edge technologies not only for AI (artificial intelligence) algorithms, but also for implementation methods of various AI applications. It consists of several categories: (i) basic sensor technologies, (ii) deep learning algorithms, (iii) AI and its role in smart sensor networks, (iv) low-power design for deep learning, (v) sensors, and (vi) implementation examples for various AI applications.
We are now experiencing the third AI boom, and it’s high time to take AI seriously. Recently, deep learning, a revolutionary machine-learning technique, has breathed new life into AI research. Deep learning can improve human–computer interfaces by using rapid and accurate image and voice recognition, and can help produce highly reliable anti-crime and monitoring systems, self-driving cars, home and nursing-care robots, and countless other IoT (Internet of Things) applications.
This book offers a valuable resource for all AI researchers who are interested in deep learning algorithms, sensors, embedded systems and AI applications.