Application of FPGA to Real‐Time Machine Learning: Hardware Reservoir Computers and Software Image Processing

[LeeAndro]

English | PDF,EPUB | 2018 | 187 Pages | ISBN : 3319910523 | 8.16 MB

This book lies at the interface of machine learning - a subfield of computer science that develops algorithms for challeg 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 , 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- image analysis of optical coherence tomography for atherosclerotic arteries.



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