2 abril, 2019

Artificial Intelligence in our Daily Life

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The field of computing sciences has had a quick growth since its beginning in the 50’s. Nowadays, each new technological product, whether it’s a mobile device or a computer, presents improvements compared to older versions, in size, price or functionality. Other elements that have also improved with this growth are the materials and size used in hardware, and the programs and applications used in software.

Due to this evolution in the computing world, some disciplines have had important improvements, such as media, others, such as Law, new disciplines like informatics law, and in other cases, the birth and development of artificial intelligence (AI).


The concept of artificial intelligence, was formally introduced during the first International Joint Conference on Computer Science, held in Washington in 1969 (A. Kornienko et al., 2015). It is defined as the design and implementation of systems, capable of showing in their behavior, aspects related to human intelligence, such as learning and problem solving. It also holds content of different disciplines like mathematics, psychology, cognitive sciences, biology and philosophy, acting as a complement of them.

Among its multiple advantages we find the possibility of performing routinely tasks with high efficiency, as well as allowing the solution of complex problems. Nevertheless, one important limitation is the aim towards solving specific problems.


Artificial intelligence uses tools to solve problems while being object of study to continue its growth and development. Some of its most important tools are:

  • Reasoning, which is a logic operation that starts with one or more assumptions, evaluates them and finally decides if they are true or false (CUSA, 2010).
  • Knowledge, is the core information that models the experience of a specific problem (UPC, Knowledge representation, 2012).
  • Planning, is based on the idea of giving the program a target and its representationpossible actions, environment, and finally, the capability of creating a plan to achieve its goal (UPC, Planning agents, 2012).
  • Natural language processing, which objective is to manipulate natural language and its rules, to create programs developer toward this goal (Colombia, Artificial Intelligence, 2010).
  • Perception, is reached through an agent analyzing its surroundings with sensors, and its interaction with it, which in consequence lead to the agent perceiving and understanding the results of its action. (Benitez Guerrero, 2010).

Nowadays, artificial intelligence plays an important role in several technologies and has several uses in our daily life. This is due to the following:

1- The constant improvement and accessibility to lower cost processor and memories that operate inside devices (hardware).

2- The scientific global investigation of companies such as Nearshore Delivery Solutions, as well as of academic institutions, searching for:

  • New implementation ideas
  • Algorithm improvement, with the goal of reducing computational cost – the use of memory space and processor capability inside a computer.


The following examples, deepen how we use AI tools in our daily life.

  • Diffuse Logic for laundry machines; controlling the water level according to the clothe load.
  • Finite State Machines or Dijkstra algorithm; used in videogames to avoid that two units bump into each other or use the same space.
  • Hamming Distance, to detect writing mistakes and even show possible text options in messaging tools.

Finally, in a broad sense we enlist some of the day to day processes and products that use artificial intelligence.

  • Videogames
  • User security in Laptops
  • User recognition through fingerprints in smartphones and other mobile devices
  • Text processors and messaging applications
  • Music and media playlist suggestions
  • Finance applications
  • Transport systems organization
  • Home appliances
  • Boilers
  • Security and object detection through video surveillance


Without a doubt, this discipline will continue to grow and solve dairy needs and tasks for people around the world through innovative proposals. One example of how fast this development is going is Google’s AlphaGo, a program designed to play the Chinese game Go and that beat the European champion in 2016. This achievement was believed to be achieved in at least a decade from now (Google, 2016).

What do you think? What other disciplines do you think AI could be used? Send you comments, questions or just say hello in our comment section below, or through our social media.


Kornienko, A., V. Kornienko, A., B. Fofanov,, O., & P. Chubik, M. (2015). Knowledge in artificial intelligence systems: searching the strategies for application. ELSEVIER, ScienceDirect, 589 – 594.

Benítez Guerrero, E. I. (2010). Inteligencia Artificial. Obtenido de http://www.uv.mx/personal/edbenitez/files/2010/09/CursoIA10-I-2.pdf

Colombia, U. N. (2010). Inteligencia Artificial. Obtenido de http://disi.unal.edu.co/~lctorress/iartificial/IAc016.pdf

Colombia, U. N. (2012). Inteligencia Artificial – Departamento de Ingeniería de Ssistemas. Obtenido de http://disi.unal.edu.co/~lctorress/iartificial/IAc014.pdf

CUSA. (05 de Julio de 2010). Inteligencia Artificial: Razonamiento. Obtenido de http://ingenieriacusa.blogspot.mx/2010/07/inteligencia-artificial-razonamiento.html

Google. (5 de Septiembre de 2016). AlphaGo | DeepMind. Obtenido de https://deepmind.com/research/alphago/

Sithu Kyaw, A., Peters, C., & Naing Swe, T. (2013). Unity 4.x Game IA Programming. Birmingham – Mumbai: PACKT Publishing.

UPC. (2012). Agentes planificadores. Obtenido de http://www.cs.upc.edu/~jvazquez/teaching/iag/transpas/4-PL1-IntroPlanificaci%C3%B3n.pdf

UPC. (2012). Representación del conocimiento. Obtenido de http://www.cs.upc.edu/~bejar/ia/transpas/teoria/3-RC0-Intro_rep_conocimiento.pdf

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