Artificial Intelligence (AI) drives the creation of future technologies that
disrupt the way humans live and work, creating new solutions that change the
way we approach tasks and activities, but it requires a lot of data processing,
large amounts of data transfer, and computing speed. It has led to a growing
interest of research in developing a new type of computing platform which is
inspired by the architecture of the brain specifically those that exploit the
benefits offered by photonic technologies, fast, low-power, and larger
bandwidth. Here, a new computing platform based on the photonic reservoir
computing architecture exploiting the non-linear wave-optical dynamics of the
stimulated Brillouin scattering is reported. The kernel of the new photonic
reservoir computing system is constructed of an entirely passive optical
system. Moreover, it is readily suited for use in conjunction with high
performance optical multiplexing techniques to enable real-time artificial
intelligence. Here, a methodology to optimise the operational condition of the
new photonic reservoir computing is described which is found to be strongly
dependent on the dynamics of the stimulated Brillouin scattering system. The
new architecture described here offers a new way of realising AI-hardware which
highlight the application of photonics for AI.Comment: 8 pages, 6 figures, research articl
