State of the Art in Artificial Intelligence and Learning Machines




IA; Learning Machines; Data Science; Edge Computing; Quantum Computing.


In this paper an update of the advances, possibilities and state of the art of IA and some related technologies, is shown. The paper will have the following structure:

  1. Introduction and general view of IA
  2. Data Science
  • Language understanding
  1. Autonomous Vehicles
  2. Edge Computing
  3. Quantum Computing
  • Challenges in the horizon


IA may be defined as a set of algorithms that establishes a series of steps to be taken by an artificial agent in order to perform a very wide range of tasks. These “series of steps” are not taken in lineal order, but conditional. Deep Learning is defined as the capacity of an artificial system to learn autonomously. Neural networks imitating the structure of the human brain are defined in order to host a big number of algorithms for complex decision-making


Download data is not yet available.

Author Biography

Carlos F Alastruey, Universidad Pública de Navarra




Amisha, Paras Malik, Monika Pathania & Vyas Kumar Rathaur, (2019). Overview of artificial intelligence in medicine. Journal of Family Medicine and Primary Care, 8(7), 2328-2331.
Catterson, V.M., Davidson, E.M., & McArthur, S.D.J., (2012). Practical applications of multi-agent systems in electric power systems. European Transactions on Electrical Power, 22(2), 235-252.
Feynman, R., (2000) [1996]. Lectures on computation. Perseus Publishing.
Fundación Banco de Santander, (2020). Los principales retos de la Inteligencia Artificial.
García López, A; García López de Lacalle, J. & García Mazarío, F., (2016). Computación cuántica, Máster en Ciencias y Tecnologías de la Computación, Universidad Politécnica de Madrid.
L'Heureux, A.; Grolinger, K.; Elyamany, H. F.; Capretz, M. A. M. (2017). "Machine Learning With Big Data: Challenges and Approaches". IEEE Access. 5: 7776–7797.
Lowe, D., (2019). Has AI Discovered Drug Now? Science. September 5th.
Russell, S. & Norvig, P., (2003) [1995]. Artificial Intelligence: A Modern Approach. Prentice Hall.
Shoham, Yoav; Leyton-Brown, Kevin (2009). Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations. New York: Cambridge University Press. ISBN 978-0-521-89943-7.
Shor, P. W., (1994). Polynomial-Time Algorithms for Prime Factorization and Discrete Logarithms on a Quantum Computer, SIAM J. Comput. 26, 1484–1509 (arXiv:quant-ph/9508027).
Torra, V., (2020). La inteligencia artificial,, Instituto de Investigación en Inteligencia Artificial, Consejo Superior de Investigaciones Científicas.
Turing, A., (1950). “Computing Machinery and Intelligence”, Mind, LIX(236), 433-460.
Wang, Peyton (2019), “The Impact Of Artificial Intelligence On Social Media”,
Warwick, Kevin (2010), "Hidden Interlocutor Misidentification in Practical Turing Tests", Minds and Machines, 20 (3): 441–454.
Wichert, A., (2014). Principles of Quantum Artificial Intelligence, World Scientific Publishing.