Myths and misconceptions about .
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Around () 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 , 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 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 () works and where its limitations lie, will it be useful to us.
Only if we fully understand how () 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: (), (), (), different words mean the same
is an umbrella term that includes a broad set of computer engineering techniques, ranging from and rule-based systems to and optimization techniques.
Within , there is a subset called (), 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, techniques are a type of () that provides amazing advances. Their techniques are based on the use of what are called artificial neural networks.
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