… [6] and [7]) that comprehensively cover ML applications in the field of optical networking
and optical communications, respectively, but do not provide the same focus on failure …

… of artificial neural networks, we elaborate the essence of optical matrix multiplier for linear
operation. Then we introduce the optical neural network achieved by free-space optical …

… As the basis of artificial intelligence, the research results of neural network are remarkable.
However… of optical fiber and optical network in 5G era to realize a real all-optical network is an …

… optical network for implementing parallel Fourier transforms, convolution operations and
application-specific optical … -efficient solution for data-heavy artificial intelligence applications. …

… enable more intelligent and dynamic network decision making… for the design of communication
networks, we consider the … in optical and molecular communication networks that are …

… artificial intelligence create an urgent need for the development of artificial neural networks
(… ) has been demonstrated as an all-optical deep learning network, in which the ANN consists …

… Due to their inherent self-learning and adaptability characteristics, RL algorithms have
been considered for various tasks in optical networks including network self-configuration, …

… optical networks, it is necessary to find a methodology to accurately estimate the value of a
target quantity in an optical … monitoring objectives declared by the network operator. Using …

… the development of network intelligence. In conclusion, RA based on artificial intelligence
can be more efficient, meanwhile making the optical networks more intelligent and autonomous…

… as a preamplifier in optical network unit (ONU), we can adjust the input optical power of the
20G-class photodetector (PD) to achieve the best receiver sensitivity. An optical filter (OF) is …