State of the Art in Artificial Intelligence and Learning Machines

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

Abstract

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

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Author Biography

Carlos F Alastruey, Universidad Pública de Navarra

 

 

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Published
11/10/2021