Reservoir computing is a paradigm from the area of machine learning, which is shown to have
good performance on temporal dynamic problems. In this project I am targeting the breakthrough
of building prototypes of such photonic reservoir information processing platforms, with a special
emphasis on ultra-low power consumption. These platforms will be integrated on a chip, and will
perform machine-learning computations in industrially-relevant applications (medical image
recognition, telecommunication). They will be able to do this at very high speed and ultra-low
power consumption, which surpasses what is possible with other (typically electronic) information
processing approaches.