J. Manyika, M. Chui, B. Brown, J. Bughin, R. Dobbs et al., Big data: The next frontier for innovation, competition, and productivity, 2011.

P. Luciano, C. Sotiropoulou, S. Gkaitatzis, M. Viti, S. Citraro et al., A Hardware Implementation of a Brain Inspired Filter for Image Processing, IEEE Transactions on Nuclear Science, vol.64, issue.6, 2017.
DOI : 10.1109/TNS.2017.2706061

S. Jung and S. Su-kim, Hardware Implementation of a Real-Time Neural Network Controller With a DSP and an FPGA for Nonlinear Systems, IEEE Transactions on Industrial Electronics, vol.54, issue.1, pp.265-271, 2007.
DOI : 10.1109/TIE.2006.888791

W. Maass, T. Natschläger, and H. Markram, Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations, Neural Computation, vol.7, issue.11, pp.2531-2560, 2002.
DOI : 10.1038/35009102

URL : http://www.ee.oulu.fi/~johannes/research/papers/maass02realtime.pdf

H. Jaeger and H. Haas, Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communication, Science, vol.304, issue.5667, pp.78-80, 2004.
DOI : 10.1126/science.1091277

URL : http://www.columbia.edu/cu/biology/courses/w4070/Reading_List_Yuste/haas_04.pdf

M. Luko?evi?ius and H. Jaeger, Reservoir computing approaches to recurrent neural network training, Computer Science Review, vol.3, issue.3, pp.127-149, 2009.
DOI : 10.1016/j.cosrev.2009.03.005

F. Schürmann, K. Meier, and J. Schemmel, Edge of chaos computation in mixed-mode vlsi-a hard liquid Advances in neural information processing systems, pp.1201-1208, 2005.

D. Verstraeten, B. Schrauwen, and D. Stroobandt, Reservoir computing with stochastic bitstream neurons, Proceedings of the 16th annual Prorisc workshop, pp.454-459, 2005.

M. S. Kulkarni and C. Teuscher, Memristor-based reservoir computing, Nanoscale Architectures (NANOARCH) IEEE/ACM International Symposium on, pp.226-232, 2012.
DOI : 10.1145/2765491.2765531

G. Van-der-sande, D. Brunner, and M. C. Soriano, Abstract, Nanophotonics, vol.16, issue.3, pp.561-576, 2017.
DOI : 10.1515/nanoph-2016-0132

L. Larger, A. Baylón-fuentes, R. Martinenghi, V. S. Udaltsov, Y. K. Chembo et al., High-Speed Photonic Reservoir Computing Using a Time-Delay-Based Architecture: Million Words per Second Classification, Physical Review X, vol.7, issue.1, p.11015, 2017.
DOI : 10.1038/ncomms8752

URL : http://doi.org/10.1103/physrevx.7.011015

D. Brunner, M. C. Soriano, C. R. Mirasso, and I. Fischer, Parallel photonic information processing at gigabyte per second data rates using transient states, Nature Communications, vol.1, issue.1, p.1364, 2013.
DOI : 10.1038/ncomms1028

URL : http://www.nature.com/articles/ncomms2368.pdf

L. Appeltant, M. C. Soriano, G. Van-der-sande, J. Danckaert, S. Massar et al., Information processing using a single dynamical node as complex system, Nature Communications, vol.22, issue.1, p.468, 2011.
DOI : 10.1109/TNN.2010.2089641

URL : http://www.nature.com/articles/ncomms1476.pdf

F. Duport, B. Schneider, A. Smerieri, M. Haelterman, and S. Massar, All-optical reservoir computing, Optics Express, vol.20, issue.20, pp.22-783, 2012.
DOI : 10.1364/OE.20.022783

L. Larger, M. C. Soriano, D. Brunner, L. Appeltant, J. M. Gutiérrez et al., Photonic information processing beyond Turing: an optoelectronic implementation of reservoir computing, Optics Express, vol.20, issue.3, pp.3241-3249, 2012.
DOI : 10.1364/OE.20.003241

URL : https://hal.archives-ouvertes.fr/hal-00664446

M. C. Soriano, S. Ortín, D. Brunner, L. Larger, C. R. Mirasso et al., Optoelectronic reservoir computing: tackling noise-induced performance degradation, Optics Express, vol.21, issue.1, pp.12-20, 2013.
DOI : 10.1364/OE.21.000012

URL : https://hal.archives-ouvertes.fr/hal-00945440

P. Antonik, M. Hermans, F. Duport, M. Haelterman, and S. Massar, Towards pattern generation and chaotic series prediction with photonic reservoir computers, Proc. of SPIE, vol.9732, pp.97-320, 2016.
DOI : 10.1117/12.2210948

URL : https://dipot.ulb.ac.be/dspace/bitstream/2013/232699/3/antonik2016towards.pdf

A. N. Tait, E. Zhou, T. F. De-lima, A. X. Wu, M. A. Nahmias et al., Neuromorphic silicon photonics, 2016.

K. Vandoorne, J. Dambre, D. Verstraeten, B. Schrauwen, and P. Bienstman, Parallel Reservoir Computing Using Optical Amplifiers, IEEE Transactions on Neural Networks, vol.22, issue.9, pp.1469-1481, 2011.
DOI : 10.1109/TNN.2011.2161771

C. Mesaritakis, V. Papataxiarhis, and D. Syvridis, Micro ring resonators as building blocks for an all-optical high-speed reservoir-computing bit-pattern-recognition system, Journal of the Optical Society of America B, vol.30, issue.11, pp.3048-3055, 2013.
DOI : 10.1364/JOSAB.30.003048

C. Mesaritakis, A. Kapsalis, and D. Syvridis, All-optical reservoir computing system based on ingaasp ring resonators for high-speed identification and optical routing in optical networks, SPIE OPTO, pp.937-970, 2015.

K. Vandoorne, P. Mechet, T. Van-vaerenbergh, M. Fiers, G. Morthier et al., Experimental demonstration of reservoir computing on a silicon photonics chip, Nature Communications, vol.27, issue.1, 2014.
DOI : 10.1109/JLT.2009.2022282

URL : http://www.nature.com/articles/ncomms4541.pdf

A. Katumba, M. Freiberger, P. Bienstman, and J. Dambre, A multipleinput strategy to efficient integrated photonic reservoir computing, Cognitive Computation, pp.1-8, 2017.
DOI : 10.1007/s12559-017-9465-5

M. A. Fiers, T. Van-vaerenbergh, F. Wyffels, D. Verstraeten, B. Schrauwen et al., Nanophotonic Reservoir Computing With Photonic Crystal Cavities to Generate Periodic Patterns, IEEE transactions on neural networks and learning systems, pp.344-355, 2014.
DOI : 10.1109/TNNLS.2013.2274670

URL : https://biblio.ugent.be/publication/4295171/file/4295187

T. Van and . Vaerenbergh, All-optical spiking neurons integrated on a photonic chip, 2014.

T. Van-vaerenbergh, M. Fiers, P. Mechet, T. Spuesens, R. Kumar et al., Cascadable excitability in microrings, Optics Express, vol.20, issue.18, pp.20-292, 2012.
DOI : 10.1364/OE.20.020292

L. Zhang, Y. Fei, Y. Cao, X. Lei, and S. Chen, Experimental observations of thermo-optical bistability and self-pulsation in silicon microring resonators, Journal of the Optical Society of America B, vol.31, issue.2, pp.201-206, 2014.
DOI : 10.1364/JOSAB.31.000201.m001

URL : http://ir.semi.ac.cn/bitstream/172111/26060/1/Experimental%20observations%20of%20thermo-optical%20bistability%20and%20self-pulsation%20in%20silicon%20microring%20resonators%20%20.pdf

W. H. Pernice, M. Li, and H. X. Tang, Time-domain measurement of optical transport in silicon micro-ring resonators, Optics Express, vol.18, issue.17, pp.18-438, 2010.
DOI : 10.1364/OE.18.018438

L. Zhang, Y. Fei, T. Cao, Y. Cao, Q. Xu et al., silicon microring resonators considering thermo-optical effect, Physical Review A, vol.87, issue.5, p.53805, 2013.
DOI : 10.1103/PhysRevA.85.031803

S. Chen, L. Zhang, Y. Fei, and T. Cao, Bistability and self-pulsation phenomena in silicon microring resonators based on nonlinear optical effects, Optics Express, vol.20, issue.7, pp.7454-7468, 2012.
DOI : 10.1364/OE.20.007454

I. S. Amiri, R. Ahsan, A. Shahidinejad, J. Ali, and P. P. Yupapin, Characterisation of bifurcation and chaos in silicon microring resonator, IET Communications, vol.6, issue.16, pp.2671-2675, 2012.
DOI : 10.1049/iet-com.2011.0773

J. Hryniewicz, P. Absil, B. Little, R. Wilson, and P. Ho, Higher order filter response in coupled microring resonators, IEEE Photonics Technology Letters, vol.12, issue.3, pp.320-322, 2000.
DOI : 10.1109/68.826927

H. J. Caulfield, R. A. Soref, and C. S. Vikram, Universal reconfigurable optical logic with silicon-on-insulator resonant structures, Photonics and Nanostructures-Fundamentals and Applications, pp.14-20, 2007.
DOI : 10.1016/j.photonics.2006.08.001

H. Kishikawa, T. Kondo, N. Goto, and S. Talabattula, Optical thresholder consisting of two cascaded Mach???Zehnder interferometers with nonlinear microring resonators, Optical Engineering, vol.56, issue.8, p.86101, 2017.
DOI : 10.1117/1.OE.56.8.086101

Y. Dumeige, L. Ghisa, and P. Féron, Integrated all-optical pulse restoration with coupled nonlinear microring resonators, Optics Letters, vol.31, issue.14, pp.2187-2189, 2006.
DOI : 10.1364/OL.31.002187

C. Tanaram, C. Teeka, R. Jomtarak, P. Yupapin, M. Jalil et al., ASK-to-PSK Generation based on Nonlinear Microring Resonators Coupled to One MZI Arm, Procedia Engineering, vol.8, pp.432-435, 2011.
DOI : 10.1016/j.proeng.2011.03.079

T. Yamane, S. Takeda, D. Nakano, G. Tanaka, R. Nakane et al., Dynamics of Reservoir Computing at the Edge of Stability, International Conference on Neural Information Processing, pp.205-212, 2016.
DOI : 10.1007/978-3-319-26555-1_23

F. Denis and L. Coarer, He received the Engineering degree from CentraleSupélec (France), and a Master's degree from the University of Lorraine (France) in 2016, both with a major in photonics. He is currently pursuing the Ph.D. degree with CentraleSupélec (France) His current research interests include dynamics of vertical-cavity surface-emitting lasers, and non-linear dynamics of other photonic systems for neuromorphic applications, 1992.

, he became an Assistant Professor and since EA-4423) He has authored about 150 publications, including 60 publications in peer-reviewed journals. His current research interests include theory and experiment on nonlinear dynamics of semiconductor lasers with optical injection or optical feedback, optical chaos and chaos synchronization in coupled oscillators, control of optical pattern formation in photorefractive nonlinear cavities, phase conjugate optical feedback effects, polarization properties of VCSELs) in 2002 with a OSA Newfocus Student Travel Grant, Marc Sciamanna graduated in electrical engineering in 2000 and received the Ph.D. degree in applied sciences in 2004 from Faculté Polytechnique de Mons Full Professor at Supélec, France. He is the Head of the Optics and Electronics (OPTEL) Research Group, Supélec, and since 2012, he has been the Adjunct Director of the LMOPS Laboratory (Laboratoire Matriaux Optiques, Photonique et Systmes He was a recipient of the IEEE-LEOS (now IEEE Photonics Society) in 2002 with a Graduate Student Fellowship Award, the International Society for Optical Engineering (SPIE) in 2003 with the F-MADE Scholarship Award, and the he received the TR35 Young Innovator Award from MIT Technology Review (U.S.A.) for his work on controlling chaos in telecom lasers. He is also a Chairman and Committee Member of several international conferences, including SPIE Photonics Europe the EOS Annual Meeting the IEEE/LEOS Winter Topicals the IEEE International Semiconductor Laser Conference PHASE/IPSSO international workshops) and A Future in Light international conference He is also an Associate Editor for the international journal Optical and Quantum Electronics, 2004.