Around artificial intelligence (AI) a certain mystical halo has been created, largely caused by the great ignorance that exists in this field, especially in the media. We have all read phrases such as: “with AI, most jobs will be automated and people will be unemployed” or, “robots will take over the world”, or, “it is a science fiction technology”, etc.

As we see, ignorance takes us to extremes, there are those who think that AI will dominate the world and others who think that it is nothing more than a buzzword. We believe that the truth is somewhere in the middle. And, in fact, we believe that only if we fully understand how artificial intelligence (AI) works and where its limitations lie, will it be useful to us.

Only if we fully understand how artificial intelligence (AI) works and where its limitations lie, will it help us.

That is why, below, we will try to dispel some common myths and errors that occur in this field.

Myth 1: AI (artificial intelligence), ML (machine learning), DL (deep learning), different words mean the same

AI is an umbrella term that includes a broad set of computer engineering techniques, ranging from ML and rule-based systems to natural language processing and optimization techniques.

Within AI, there is a subset called machine learning (ML), which is defined as the field of study that allows machines to learn without being explicitly programmed. Machines learn through a process called “training” thanks to the information we provide them.

Finally, deep learning techniques are a type of machine learning (ML) that provides amazing advances. Their techniques are based on the use of what are called artificial neural networks.

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