Part of the book series:Smart Innovation, Systems and Technologies ((SIST,volume 151))
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Abstract
This introductory chapter discusses some basics of artificial intelligence and in particular some theoretical issues concerning neural networks that are still open problems and need further investigations. This is because, independently of the large use of neural networks in several fields, using neural networks and similar artificial intelligence techniques to solve problems of non-polynomial complexity is by itself a creative and intelligent problem, not rigidly tied to procedural methods and fully explainable on theoretical bases.
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References
Bengio, Y., Thibodeau-Laufer, E., Alain, G., Yosinski, J.: Deep generative stochastic networks trainable by backprop. In: Proceeding 31st International Conference on Machine Learning, pp. 226–234 (2014)
Esposito, A., Faundez-Zanuy, M., Morabito, F.C., Pasero E.: Some note on artificial intelligence. This volume (2019)
Graves, A., Mohamed, A.R., Hinton, G.: Speech recognition with deep recurrent neural networks. In: Proceeding International Conference on Acoustics, Speech and Signal Processing pp. 6645–6649 (2013)
Hinton, G., et al.: Deep neural networks for acoustic modeling in speech recognition. IEEE Signal Process. Mag.29, 82–97 (2012)
Krizhevsky, A, Sutskever, I., Hinton, G.: ImageNet classification with deep convolutional neural networks. In: Proceeding of Advances in Neural Information Processing Systems, vol. 25, pp. 1090–1098 (2012)
McCarthy, J., Minsky, M.L., Rochester, N., Shannon, C.E.: A proposal for the Dartmouth summer research project on artificial intelligence. AI Mag.27(4), 12–14 (2006)
Rhines, W. (1985) AI: Out of the lab and into business. J. Bus. Strat. Summer6(1), 50–57 (1985)
Rumelhart, D.E., Hinton, G.E., Williams, R.J.: Learning representations by back-propagating errors. Nature323, 533–536 (1986)
Vincent, J.:https://www.theverge.com/2019/4/8/18300149/eu-artificial-intelligence-ai-ethical-guidelines-recommendations (2019)
Acknowledgements
The research leading to these results has received funding from the European Union Horizon 2020 research and innovation programme under grant agreement N. 769872 (EMPATHIC) and N. 823907 (MENHIR) and from the project SIROBOTICS that received funding from Ministero dell’Istruzione, dell’Università, e della Ricerca (MIUR), PNR 2015–2020, Decreto Direttoriale 1735 del 13 luglio 2017.
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Authors and Affiliations
Dipartimento di Psicologia and IIASS, Università degli Studi della Campania Luigi Vanvitelli, Caserta, Italy
Anna Esposito
Pompeu Fabra University, Barcelona, Spain
Marcos Faundez-Zanuy
Università degli Studi “Mediterranea” di Reggio Calabria, Reggio Calabria, Italy
Francesco Carlo Morabito
Politecnico di Torino - Dip. Elettronica e Telecomunicazioni, Turin, Italy
Eros Pasero
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Correspondence toAnna Esposito.
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Department of Psychology, University of Campania Luigi Vanvitelli, Caserta, Italy
Anna Esposito
Tecnocampus, Mataró, Spain
Marcos Faundez-Zanuy
Department of Civil, Environment, Energy and Materials Engineering, Mediterranea University of Reggio Calabria, Reggio Calabria, Italy
Francesco Carlo Morabito
Dipartimento di Elettronica e Telecomunicazioni, Politecnico di Torino, Turin, Italy
Eros Pasero
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Esposito, A., Faundez-Zanuy, M., Morabito, F.C., Pasero, E. (2020). Some Note on Artificial Intelligence. In: Esposito, A., Faundez-Zanuy, M., Morabito, F., Pasero, E. (eds) Neural Approaches to Dynamics of Signal Exchanges. Smart Innovation, Systems and Technologies, vol 151. Springer, Singapore. https://doi.org/10.1007/978-981-13-8950-4_1
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