Something that started as a simple video game programming program has become one of the most frequently used apps all around the world, even in some of the most complex fields of research, such as medicine.
In the field of medicine, the AI has led to countless breakthroughs in the sector, even from more accurate diagnostics to preventive interventions based on data collected in real time. Most users are unaware of the variety of AI available to us. There is not only one kind, but many, starting with one as simple as progressive and autonomous learning to a more complex one as deep neural networks, each one with its very own method and level of complexity.
Nonetheless, all of them contribute but all contribute to solving complex problems and improving the quality of life. To understand a little bit more about this extremely useful resource, wefirst need to know what kind of AI to use. There numerous types, but the most used ones are:
1. ARTIFICIAL INTELLIGENCE IN GENERAL.
This refers to the ability of machines to learn and carry out tasks autonomously, rather than merely executing instructions provided by humans. Early examples of this technology include chess programs and systems that process language.
2. MACHINE LEARNING OR AUTOMATIC LEARNING.
It is a method where machines use algorithms to analyse data and make predictions. Everyday examples include social media recommendations and maps that predict traffic.
3. NEURAL NETWORKS.
Inspired by the human brain, they represent a type of machine learning in which signals are processed by interconnected artificial neurons. They are used to recognise patterns, including those related to brain function.
4. DEEP LEARNING.
It is a more advanced form of machine learning that uses multi-layered neural networks to process complex data. Applications include virtual assistants and autonomous vehicles capable of recognizing traffic signs
Author: Aitana Vaamonde Armas
