How does artificial intelligence work? - Quesoft Tech

 How does artificial intelligence work?

In general, artificial intelligence systems process and analyze large volumes of data looking for patterns that help make predictions. So, for example, Chatbots receive information that helps them identify behaviors and can interact with people in a human-like way.

AI requires a base of specialized hardware and software, and the most used programming languages ​​in this area are Python, R and Java. It is worth noting that AI programming involves three main skills: learning, reasoning and self-correction. Let's take a closer look at this.

• Learning Processes: These processes focus on acquiring data, analyzing it, and creating rules to convert it into actionable information. Thus, detailed instructions are constructed to teach the machine to complete a task.
• Thinking Processes: These processes mimic human thinking in machines and various decision-making devices.
• Self-correction processes: through these processes, the algorithms can be continuously adjusted, further optimizing the results.

Is there a difference between artificial intelligence, deep learning, and machine learning?

Artificial intelligence, Machine Learning and Deep Learning are closely related terms as they are technologies used to model data and create solutions. However, there are considerable differences between them. For the avoidance of doubt, we will analyze them below.

As already mentioned, artificial intelligence encompasses all devices, machines, tools and methods that imitate human reasoning and capabilities. Thus, they can solve problems for which, until today, the best reference is the solution given by people.

However, for this to happen, it is necessary to correlate a large volume of data to extract knowledge and for the machine to learn in a self-taught way. And that's exactly what Machine Learning does.

Machine Learning is the use of algorithms, data and procedures so that a machine, based on examples, can identify patterns, learn from errors, predict behavior and solve problems.

However, nowadays, the amount of data generated is much larger, and it was necessary to develop more complex and faster algorithms, which led to the emergence of Deep Learning.

We can say that this digital disruption is a sub-area of ​​Machine Learning and develops sophisticated neural networks with greater capacity to extract and identify information, seeking to emulate the way humans learn.

In summary, Machine Learning and Deep Learning are two branches of artificial intelligence.

While Machine Learning uses algorithms to learn and make decisions through data analysis, Deep Learning goes much further and creates artificial neural networks to learn in a human-like manner and make decisions on its own.

What are the main types of artificial intelligence?

Among the main types of artificial intelligence, we have the following:

Artificial Narrow Intelligence (ANI)

This type of artificial intelligence is also known as weak or narrow AI , which focuses and is dedicated to a single complex activity. ANI is an artificial intelligence that simulates human behavior directed towards a specific goal.

Examples of Artificial Narrow Intelligence include:

• Facial recognition
• spam filters
• Virtual assistants like Siri and Alexa

Artificial General Intelligence (AGI)

AGI is part of strong AI and is a more theoretical model. It is a more versatile form of AI that mimics human intelligence and has a broad range of action.

She is able to learn to solve different problems and is adaptable.

It is considered a deeper intelligence, as it evaluates and detects processes, needs and even emotions.

It has a high learning capacity and an excellent cognitive level.

As an example, in the transport and logistics segment, AGI is being applied to enable computer vision in self-driving cars and to automate the scheduling of vehicle tasks, as well as maintenance forecasting, allowing people to be alerted by robots before they arrive. the vehicle needs to be stopped.

In aviation, it is used in in-flight sales and the personalized in-flight customer experience.

Artificial Super intelligence (ASI)

ASI is also part of strong artificial intelligence. It is considered very powerful because it is capable of becoming conscious and autonomous.

It not only replicates human behavior, it surpasses it. She can think better and have more skills. However, this technology is still under development.

Reactive Machines

Reactive machines are the oldest and simplest models of AI. They are models with limited capacity, have no memory and are not capable of learning. However, they are automated to react to a stimulus.

Limited Memory

Memory-limited AIs are also reactive machines, however, unlike the previous ones, they have a small amount of memory. This makes them more advanced as it allows them to learn.

They are able to make small decisions from small databases that they create from the history of their interactions.

Currently, base machines with memory limitations can be used for some systems. For example:

• virtual assistants
• Chatbots
• Facial recognition

Theory of Mind

This type of AI is also under development, but intends to be one of the most innovative models.

The Theory of Mind promises to process the emotions, feelings, needs and reflections present in the human mind and, although there are already great advances in this technology, we still cannot see anything concrete.

self-awareness

Self-awareness is still nothing more than a concept and would be the most evolved level of development, from the current point of view, that artificial intelligence could reach.

The purpose of this technology goes beyond Theory of Mind. In addition to processing emotions, it could also have emotions of its own. They would be independent machines with self-awareness.