IA and its development today

IA evolution

In the previous reflection we began to examine the technology that managed to materialize our concepts and ideas for the future. But if we delve more specifically into Artificial Intelligence, we find an evolution worthy of its own development.

The idealization of AI is long-standing, the human being since ancient times was seduced by artificial intelligence, which we can see with automata (mechanical machines with certain purposes). In some way, the thinking being looks for similar beings and if it does not find them, it tries to recreate them and in the process answer their questions.
From a philosophical point of view, when we talk about AI, we are talking about the desire of the human being to have answers, to understand himself and his purpose. There is something that led us down this path, an inner desire that makes us imagine intelligent life or create it ourselves.

As for the transmission of ideas about AI, I do not want to stop pointing out that it is true that the future full of flying cars and robots promoted by different means from the 60's driven during and after the space race was not entirely exact And that, somehow when we predict the role that AI will play in our lives, lets a certain disbelief seep into it today.

AI as part of our lives is not something from the near or distant future, it is a seed that has already germinated, it is already everywhere, from elevators to object detection in the cameras of mobile devices and it is the industry software that bears the banner of this evolution. This is what motivated me to carry out research and developments in this field for the last 5 years.

With this reflection I will start a series of articles that will have the objective of providing concrete cases where we incorporate AI algorithms and techniques as specific solutions for real requirements. It will develop the use of neural networks, genetic algorithms and expert systems among others and the combination of these among themselves and with the intelligent handling of statistics in large amounts of data (also known in part as machine learning).

I will also provide source codes in different programming languages ​​to be implemented by any programmer.

-Cristian Scaiola

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