Learn what artificial intelligence is: how it works, types and classification
Posted: Mon Jan 20, 2025 9:04 am
Advances in artificial intelligence in recent years have accelerated production and automated processes in companies around the world. The technology has also been widely used in security mechanisms, smart recruitment and virtual assistants, for example.
However, artificial intelligence raises many questions and even some insecurities about its use and its future. Therefore, in today's text we will separate the types of artificial intelligence, examples and how they work. In addition, we will discuss what else this technology has to offer. Check it out!
Understand what Artificial Intelligence is
Artificial Intelligence is a technology that we can consider as robots that are programmed to repeat activities previously performed by humans. With pre-informed actions, the AI must carry out commands, from the most basic to the most complex.
Despite the popularity of topics like ChatGPT , it is worth remembering that this is not a new term. In fact, the subject has been discussed since the 1950s and since then it has taken increasingly large steps towards its development. In recent years, large companies have invested heavily in the development of this technology.
Learn how Artificial Intelligence works
An AI (Artificial Intelligence) is taught to think like us in order to perform tasks without errors and autonomously. This process occurs in many forms, such as Machine Learning, Deep Learning, Cognitive Computing, and Natural Language Processing. These are all algorithmic ways of making a machine learn how human thinking behaves.
In this sense, AI is not just a computer program, but rather an entire system that learns everything in a short time. It is one of the pillars of Digital Transformation.
Learn what types of artificial intelligence are
Above a computer, a hologram image projected showing a brain connected to people, security, cars, computers, chatbots, among other possible connections within Artificial Intelligence.
As we mentioned earlier, artificial intelligence is capable of performing simple malaysia telemarketing data tasks, such as answering basic questions . But it can also perform complex tasks, such as generating programming codes. Thus, AIs can be characterized (so far) in the following ways:
Reactive machines
Reactive machines are the first forms of artificial intelligence. It is the most common and also the AI that is most present in our daily lives. Its superficial life form is a receiver and not a provider of data.
In this respect, reactive machines only respond to external stimuli. And they are induced to act in a predictable manner. They do not have a memory, which prevents them from acquiring experiences, and are therefore incapable of learning.
Limited memory
Limited memory AIs are the new inventions we are experiencing. Here the process is the opposite of what happens in reactive machines. Artificial intelligence is capable of responding and providing complex tasks based on its algorithms. In the limited memory AI scenario, we have a machine that is capable of learning and presenting numerous answers to the same question. It is capable of studying several occasions and making the best decision based on its memory experience.
Theory of mind
The next step, which is already under study, is Artificial Intelligence focused on the Theory of Mind. It is suggested that at this level, AI is capable of understanding the needs and even emotions of the object or being it relates to.
Here, the theory of mind has the difficult challenge of understanding activities that deviate from patterns. Since we, as living beings, can instinctively respond to various interactions related to the environment, AI will have to act in a less clear and more abstract area.
Self-aware
And finally, we enter the phase of self-awareness. This point is often addressed in works of fiction, where machines have the ability to learn on their own and dominate humanity, as in the films “I, Robot” or “The Matrix”.
The truth is that, at this level, an AI could easily replace living beings in hundreds of activities, performing a function quickly and with the least chance of errors. For the industry, this is a huge advance, but for pessimists, it could be a problem.
Technical classification of artificial intelligence
Man with a hologram image projected in his hands of a city surrounded by the processes and connections made for Artificial Intelligence.
Therefore, Artificial Intelligence, as far as we know, can be classified into three aspects regarding its morphology, memory and understanding capacity. These are:
Artificial Narrow Intelligence (ANI)
This is where we currently find ourselves. Every ANI artificial intelligence is given a task, where the most complex of them has been exposed to a huge number of algorithms that determine unlimited answers.
Therefore, ANI does not think for itself, but is able to learn based on dozens of situations that have already occurred in real life or hypothetically. This is what we call machine learning.
However, artificial intelligence raises many questions and even some insecurities about its use and its future. Therefore, in today's text we will separate the types of artificial intelligence, examples and how they work. In addition, we will discuss what else this technology has to offer. Check it out!
Understand what Artificial Intelligence is
Artificial Intelligence is a technology that we can consider as robots that are programmed to repeat activities previously performed by humans. With pre-informed actions, the AI must carry out commands, from the most basic to the most complex.
Despite the popularity of topics like ChatGPT , it is worth remembering that this is not a new term. In fact, the subject has been discussed since the 1950s and since then it has taken increasingly large steps towards its development. In recent years, large companies have invested heavily in the development of this technology.
Learn how Artificial Intelligence works
An AI (Artificial Intelligence) is taught to think like us in order to perform tasks without errors and autonomously. This process occurs in many forms, such as Machine Learning, Deep Learning, Cognitive Computing, and Natural Language Processing. These are all algorithmic ways of making a machine learn how human thinking behaves.
In this sense, AI is not just a computer program, but rather an entire system that learns everything in a short time. It is one of the pillars of Digital Transformation.
Learn what types of artificial intelligence are
Above a computer, a hologram image projected showing a brain connected to people, security, cars, computers, chatbots, among other possible connections within Artificial Intelligence.
As we mentioned earlier, artificial intelligence is capable of performing simple malaysia telemarketing data tasks, such as answering basic questions . But it can also perform complex tasks, such as generating programming codes. Thus, AIs can be characterized (so far) in the following ways:
Reactive machines
Reactive machines are the first forms of artificial intelligence. It is the most common and also the AI that is most present in our daily lives. Its superficial life form is a receiver and not a provider of data.
In this respect, reactive machines only respond to external stimuli. And they are induced to act in a predictable manner. They do not have a memory, which prevents them from acquiring experiences, and are therefore incapable of learning.
Limited memory
Limited memory AIs are the new inventions we are experiencing. Here the process is the opposite of what happens in reactive machines. Artificial intelligence is capable of responding and providing complex tasks based on its algorithms. In the limited memory AI scenario, we have a machine that is capable of learning and presenting numerous answers to the same question. It is capable of studying several occasions and making the best decision based on its memory experience.
Theory of mind
The next step, which is already under study, is Artificial Intelligence focused on the Theory of Mind. It is suggested that at this level, AI is capable of understanding the needs and even emotions of the object or being it relates to.
Here, the theory of mind has the difficult challenge of understanding activities that deviate from patterns. Since we, as living beings, can instinctively respond to various interactions related to the environment, AI will have to act in a less clear and more abstract area.
Self-aware
And finally, we enter the phase of self-awareness. This point is often addressed in works of fiction, where machines have the ability to learn on their own and dominate humanity, as in the films “I, Robot” or “The Matrix”.
The truth is that, at this level, an AI could easily replace living beings in hundreds of activities, performing a function quickly and with the least chance of errors. For the industry, this is a huge advance, but for pessimists, it could be a problem.
Technical classification of artificial intelligence
Man with a hologram image projected in his hands of a city surrounded by the processes and connections made for Artificial Intelligence.
Therefore, Artificial Intelligence, as far as we know, can be classified into three aspects regarding its morphology, memory and understanding capacity. These are:
Artificial Narrow Intelligence (ANI)
This is where we currently find ourselves. Every ANI artificial intelligence is given a task, where the most complex of them has been exposed to a huge number of algorithms that determine unlimited answers.
Therefore, ANI does not think for itself, but is able to learn based on dozens of situations that have already occurred in real life or hypothetically. This is what we call machine learning.