A Review of Artificial Intelligence in the Internet of Things

TitleA Review of Artificial Intelligence in the Internet of Things
Publication TypeJournal Article
Year of PublicationIn Press
AuthorsGarcía, C. G., E. R. Núñez-Valdez, V. García-Díaz, C. Pelayo G-Bustelo, and J. M. Cueva-Lovelle
JournalInternational Journal of Interactive Multimedia and Artificial Intelligence
ISSN1989-1660
IssueIn Press
VolumeIn Press
NumberIn Press
Date Published03/2018
Pagination1-12
Abstract

Humankind has the ability of learning new things automatically due to the capacities with which we were born. We simply need to have experiences, read, study… live. For these processes, we are capable of acquiring new abilities or modifying those we already have. Another ability we possess is the faculty of thinking, imagine, create our own ideas, and dream. Nevertheless, what occurs when we extrapolate this to machines? Machines can learn. We can teach them. In the last years, considerable advances have been done and we have seen cars that can recognise pedestrians or other cars, systems that distinguish animals, and even, how some artificial intelligences have been able to dream, paint, and compose music by themselves. Despite this, the doubt is the following: Can machines think? Or, in other words, could a machine which is talking to a person and is situated in another room make them believe they are talking with another human? This is a doubt that has been present since Alan Mathison Turing contemplated it and it has not been resolved yet. In this article, we will show the beginnings of what is known as Artificial Intelligence and some branches of it such as Machine Learning, Computer Vision, Fuzzy Logic, and Natural Language Processing. We will talk about each of them, their concepts, how they work, and the related work on the Internet of Things fields.

KeywordsArtificial Intelligence, Computer vision, Fuzzy Logic, Learning Systems, Machine Learning, Natural Language Processing
DOI10.9781/ijimai.2018.03.004
URLhttp://www.ijimai.org/journal/sites/default/files/files/2018/03/ip_03_04_pdf_28755.pdf
AttachmentSize
ip_03_04.pdf1.24 MB