Using simple fiber networks for proof-of-principle demonstrations, we give examples of natural computing in linear optical networks, like solving polynomial (P) and nondeterministic polynomial (NP) problems, and in nonlinear optical networks, like metaheuristic optimization and neuromorphic computing
International audienceSince recent years artificial intelligence and more particularly neural networ...
With this paper we bring about a discussion on the computing potential of complex optical networks a...
We review a novel paradigm that has emerged in analogue neuromorphic optical computing. The goal is ...
The modern information society is enabled by photonic fiber networks of huge coverage and complexity...
Abstract. In this paper we identify some of the optical models of computing that have been proposed ...
Optical computers will be more interesting if they take advantage of phenomena that are unique to op...
Can computers be built to solve problems, such as recognizing patterns, that entail memorizing all p...
Nonlinear, local and highly parallel algorithms can perform several simple but important visual co...
Laws of physics have proved useful for solving combinatorial optimization problems. This chapter int...
The explosion in the amount of information that is being processed is prompting the need for new com...
We study artificial neural networks with nonlinear waves as a computing reservoir. We discuss univer...
Frontiers in Optics 2017. Washington, D.C. United States, 18–21 September 2017.We introduce a novel ...
Analog optical computing uses nonlinear optics and photonics to bring new approaches to attacking se...
This paper presents a short (and not exhaustive) introduction to the most used exact, approximation,...
Abstract In recent years, the explosive development of artificial intelligence implementing by artif...
International audienceSince recent years artificial intelligence and more particularly neural networ...
With this paper we bring about a discussion on the computing potential of complex optical networks a...
We review a novel paradigm that has emerged in analogue neuromorphic optical computing. The goal is ...
The modern information society is enabled by photonic fiber networks of huge coverage and complexity...
Abstract. In this paper we identify some of the optical models of computing that have been proposed ...
Optical computers will be more interesting if they take advantage of phenomena that are unique to op...
Can computers be built to solve problems, such as recognizing patterns, that entail memorizing all p...
Nonlinear, local and highly parallel algorithms can perform several simple but important visual co...
Laws of physics have proved useful for solving combinatorial optimization problems. This chapter int...
The explosion in the amount of information that is being processed is prompting the need for new com...
We study artificial neural networks with nonlinear waves as a computing reservoir. We discuss univer...
Frontiers in Optics 2017. Washington, D.C. United States, 18–21 September 2017.We introduce a novel ...
Analog optical computing uses nonlinear optics and photonics to bring new approaches to attacking se...
This paper presents a short (and not exhaustive) introduction to the most used exact, approximation,...
Abstract In recent years, the explosive development of artificial intelligence implementing by artif...
International audienceSince recent years artificial intelligence and more particularly neural networ...
With this paper we bring about a discussion on the computing potential of complex optical networks a...
We review a novel paradigm that has emerged in analogue neuromorphic optical computing. The goal is ...
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