Abstract
In recent years the field of data processing has faced new challenges related to the ability of systems to process large amounts of data at high-speed rates with good energy efficiency. These critical issues can be addressed through the implementation, at a physical layer, of machine learning techniques. One of them is called reservoir computing [1] and has been already tested experimentally using photonic components, hence leading to the field of photonic reservoir computing as a good candidate for high-speed, energy-efficient data processing.
© 2019 IEEE
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