These are used for generating predictions and forecasts, for data analysis, for object categorization, for recommendations, for natural language processing, among other things.
Now that we have talked about what artificial intelligence is, let's tell you a little about its france telegram data history. The origins of AI can be traced back to 1943.
In that year a famous article was published, entitled “A Logical Calculus of Ideas Immanent in Nervous Activity”, written by Walter Pitts and Warren McCullough.
In it, scientists presented the first mathematical model in history for the creation of a neural network.
A few years later, in 1950, the first neural network computer, Snarc, was created by two Harvard students.
Furthermore, in that same year, Alan Turing published the Turing Test, which is still used today to assess AI.
In 1952 Arthur Samuel created software that was capable of learning to play chess autonomously.
Despite earlier developments, the term artificial intelligence was not used until 1956, when it appeared at John McCarthy's conference “Dartmouth Summer Research Project on Artificial Intelligence”.
Many today consider this conference to be the true birth of AI.
Then, in 1959, Arthur Samuel coined the term “machine learning” while working at IBM.
Types of artificial intelligence
Artificial intelligence is characterized by being a world in constant evolution.
Every year it surprises with interesting new developments that impact various sectors.
Thus, today, four major types of artificial intelligence are identified. These are:
Machine learning
Machine learning is one of the most widespread types of artificial intelligence, especially in the field of cinema.
What it is based on is the ability of a software or device to learn on its own.
For this to happen, machine learning has to follow three essential steps: learning, training and results.
This type of artificial intelligence can be supervised by a person, but it can also be carried out autonomously.
In the latter case, it is due to the AI itself, which operates according to the rules designed by the programmer in charge of the project.
It is a type of artificial intelligence that is also seen in video games and virtual assistants.
Neural networks
As the name suggests, neural networks are a type of AI that seeks to imitate the behavior of neurons.
Starting from a network of artificial neurons, what is done is to create a system through which data is received and processed in a way very similar to biological neuronal processing.
These networks are made up of millions of neurons that work in a coordinated manner and have the ability to operate with learning actions.
On the other hand, neural networks are capable of communicating, receiving and transmitting information along interconnected layers.
They can also adapt and learn.
It is a network of connections that builds a structure capable of assimilating highly complex patterns in very varied data.
Deep learning
Also known as deep learning, deep learning is a type of learning that goes beyond automatic learning, because what it does is encompass and process more information and data simultaneously.
To do this, it uses other types of artificial intelligence that allow it to operate within a larger volume of information, such as neural networks.
This type of learning is closely linked to another very popular term today, Big Data.
It is the massive availability of data that has allowed deep neural networks to unlock the potential to analyze and recognize patterns at scales that would have been difficult to imagine before.
Robotics
In the case of robotics, we are talking about an interdisciplinary branch that combines science, engineering and technology.
It is dedicated to designing, operating and building robots that are machines capable of executing tasks semi-autonomously or autonomously.
In addition, these robots cover a wide range of functions and forms.
Robots are also equipped with actuators, sensors and control systems and have the ability to perform complex tasks and interact with the environment.
Expert system
Finally, within the types of artificial intelligence we find the expert system.
This consists of a computer program that emulates human reasoning in certain specific areas.
The system is designed to mimic the rational logic, knowledge and judgment of a human expert in a particular field.
To achieve this, such a system relies on knowledge bases and detailed logical rules.
The expert system evaluates information and applies this specialized knowledge in order to reach effective conclusions.
By interacting with users, you can ask questions, offer recommendations, collect data, and create an experience similar to consulting with a professional.
Artificial intelligence applied to digital marketing
As we have seen at the beginning, one of the areas that has been most affected and nourished by artificial intelligence is digital marketing.
In this sector, it has a considerable impact, better segmenting audiences, increasing the efficiency of strategies and improving advertising campaigns.
This technology and its features enable businesses to gain a better understanding of consumer expectations, activities and tastes.