The Revolution behind Artificial Intelligence

Perhaps, perhaps today, it is by radio; television; internet or some advertising on your social networks will meet the following terms: Artificial Intelligence (IA) and Machine Learning (ML) and without giving it importance has passed long by these concepts so new, apparently, but whose origins can even almost duplicate in age to many adults today.

What is Artificial Intelligence and Machine Learning?

It is certainly very likely that we know some ways to describe AI and ML or perhaps we have no reference of its meaning, so we will briefly describe these terms:

The so-called artificial intelligence or simply AI, is the way we call any system that can reproduce tasks that previously only needed the intervention of human intelligence. That is, they seek to “imitate” the capacity of human intelligence.

Most AIs are based on odds, which allow them to predict, classify or make decisions with a high degree of effectiveness in a very similar way, almost identical to human judgment.

On the other hand, the Auto Learning, English, Machine Learning or ML can be considered an AI subrama that focused on developing systems that can learn from data and then perform specific tasks without explicitly scheduling for it.

Currently, almost all AI systems are created by ML, which uses these large amounts of data to create and validate the decision logic that is often called a machine learning model.

But...

Why Machine Learning?

The ML has become popular due to a combination of factors, including the availability of large amounts of data, the improvement of technology, the wide range of applications and improvements in algorithm accuracy, which we can detail as follows:

1. Data: With the explosion of the amount of data generated by companies and users, great opportunities for automatic learning have been created. It's Big Data's prime. This allows you to feed automatic learning algorithms with large amounts of data to improve your ability to perform specific tasks.
2. Improved technology: The technology has advanced in terms of data processing, storage and analysis, which allowed the development of more complex and precise automatic learning algorithms.
3. Applications: Automatic learning was successfully applied in a wide range of applications, from medicine to finance, through advertising and e-commerce, which led to an increase in investment in this field.
4. MEjoras in accuracy: Automatic learning algorithms have become more and more accurate as they feed more data, which has increased their usefulness and reliability in different applications.

Although to be honest, within the body or research framework, the ML itself has demonstrated its potential for use, AIs owe their fame to other more popular or massive aspects, such as social networks, Instagram; TikTok; etc. with filters that deform the face or convert images into works of arts or cartoons and a multitude of games like FIFA; Pro evolution; Halo or World of Warcraft making rivals or enemies behave more realistically and challenging than other past games.

Ai Manga & Ai Portrait Filters by Tik Tok

But we should also not forget the graphic design, which has been the subject of lately using AIs for creating logos, marks or even the complete brand, simply with a few clicks on our PC, so also art, as for painting, drawings and even comics, have been invaded by a huge amount of electronic artists, which using specific AIs for creating images have represented not only figures of an excellent realism, but also some

Realistic cities or portraits with Stable Diffusion

Not only was the field of leisure or art revolutionized, as we mentioned earlier, in more academic themes, great advances were achieved, an example of this is health and medicine where, in hours, advances would have taken years, as in physics where very precise results were obtained in a few days, from extremely complex models.

Artificial Intelligence arrived to stay and as much as we renegade from them, late or early we will have to accept them, we will have to learn to live with their Pros and their Cons, from this and many themes related to the AI and the ML, we hope to tell you in next deliveries.