Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Nonlinear photonic dynamical systems for unconventional computing   Driven by the remarkable breakthroughs during the past decade, photonics
neural networks have experienced a revival. Here, we provide a general overview
of progress over the past decade, and sketch a roadmap of important future
developments. We focus on photonic implementations of the reservoir computing
machine learning paradigm, which offers a conceptually simple approach that is
amenable to hardware implementations. In particular, we provide an overview of
photonic reservoir computing implemented via either spatio temporal or delay
dynamical systems. Going beyond reservoir computing, we discuss recent advances
and future challenges of photonic implementations of deep neural networks, of
the quest for learning methods that are hardware-friendly as well as realizing
autonomous photonic neural networks, i.e. with minimal digital electronic
auxiliary hardware.

16
The categories of this paper are: stat
29
The categories of this paper are: funct-an
14
The categories of this paper are: math-ph
15
The categories of this paper are: nucl-ex
33
The categories of this paper are: plasm-ph
26
The categories of this paper are: bayes-an
18
The categories of this paper are: econ
30
The categories of this paper are: q-alg
36
The categories of this paper are: cmp-lg
6
The categories of this paper are: astro-ph
4
The categories of this paper are: cond-mat
24
The categories of this paper are: dg-ga
13
The categories of this paper are: quant-ph
21
The categories of this paper are: adap-org
20
The categories of this paper are: acc-phys
11
The categories of this paper are: hep-lat