A Review of Artificial Intelligence in the Internet of Things

Cristian González García, Edward Núñez-Valdez, Vicente García-Díaz, Cristina Pelayo G-Bustelo, Juan Manuel Cueva-Lovelle
2018 International Journal of Interactive Multimedia and Artificial Intelligence  
- To carry out this idea, he proposed to make a child's brain instead of trying to make an adult brain, and thus educate it to obtain the brain of an adult. In this way, he divides the problem into two parts: the 'child' program and the education process. He explains that we should not expect the first 'child' machine to come out on the first attempt and that we should teach it to see how its learning evolves. Thus, after several attempts, they would be getting better machines (or even worse),
more » ... omething that Turing compared with the process of evolution and that several researchers would later develop under the name of genetic algorithms [3]. 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.
doi:10.9781/ijimai.2018.03.004 fatcat:r3ihoietrvejrf2vg3lvdtfdxa