Title Application of FPGA to Real???Time Machine Learning : Hardware Reservoir Computers and Software Image Processing Author(s) Antonik, Piotr Publication Cham, Springer International Publishing, 2018. Description XXII, 171 p. 68 illus., 8 illus. in color : online resource Abstract Note This book lies at the interface of machine learning ??? a subfield of computer science that develops algorithms for challenging tasks such as shape or image recognition, where traditional algorithms fail ??? and photonics ??? the physical science of light, which underlies many of the optical communications technologies used in our information society. It provides a thorough introduction to reservoir computing and field-programmable gate arrays (FPGAs). Recently, photonic implementations of reservoir computing (a machine learning algorithm based on artificial neural networks) have made a breakthrough in optical computing possible. In this book, the author pushes the performance of these systems significantly beyond what was achieved before. By interfacing a photonic reservoir computer with a high-speed electronic device (an FPGA), the author successfully interacts with the reservoir computer in real time, allowing him to considerably expand its capabilities and range of possible applications. Furthermore, the author draws on his expertise in machine learning and FPGA programming to make progress on a very different problem, namely the real-time image analysis of optical coherence tomography for atherosclerotic arteries ISBN,Price 9783319910536 Keyword(s) 1. ARTIFICIAL INTELLIGENCE 2. Computational Intelligence 3. EBOOK 4. EBOOK - SPRINGER 5. Image Processing and Computer Vision 6. LASERS 7. OPTICAL DATA PROCESSING 8. Optics, Lasers, Photonics, Optical Devices 9. PHOTONICS Item Type eBook Multi-Media Links Please Click here for eBook Circulation Data Accession#   Call# Status Issued To Return Due On Physical Location I09691     On Shelf