Artificial intelligence is a branch of computer research and study that seeks ways to mimic the functioning of human neurons in machines and solve various problems based on human behavior, through mathematical and logical mechanisms. Discover 8 examples in your daily life.
You've probably already asked yourself: what is artificial intelligence?
And to answer that it is very common to say that a artificial intelligence (IA) is the simulation of human intelligence in machines, giving them the ability to learn, reason, deduce, make predictions, etc. Often we associate it with the image of a physical and humanized robot, like in the movies. But in most cases, it is not so, especially when present in our daily lives.
Therefore, the purpose of this text is to go further: it is to explain in detail what it really is, how it is created and to present some examples.
For this, we will cover the following topics:
What is artificial intelligence
What is artificial intelligence
Artificial intelligence is a branch of computer research and study which looks for ways to imitate the functioning of human neurons in machines and solving various problems based on human behavior, through mathematical and logical mechanisms. In fact, it is a concept.
Artificial intelligence and programming
When we refer to artificial intelligence as a technology - not a concept - it is certain say that it is done through computational algorithms, that is, written instructions that must be followed by the computer in order for it to execute certain commands.
But these algorithms are done in a different way, so that the responses of the machine are as similar as possible to the responses of the human brain, that is, less linear and constant.
For example, a personal computer has been programmed to respond - in a linear and constant way - to certain commands, such as turning on and off when pressing a certain button. But that doesn't make him smart, he just obeys predetermined commands.
The programs made within the parameters of artificial intelligence use intelligent algorithms, enabling a machine or tool to be able to interpret data and situations, responding differently in each case, and still learn from each of them.
In the concept of artificial intelligence, each computer program performed is called a model or mathematical modeling and each of them is equivalent to a different purpose, designed to interpret characteristics of image, audio, text etc.
It is possible to integrate these models in different ways, either through pure and simple mathematics or in more complex ways, because this integration varies according to the creativity of those creating AI.
Is all artificial intelligence a robot?
Not, not all artificial intelligence is a robot. The robot - even if it doesn't have a physical body, like chatbots - is a more complex form of AI, with which we can interact in some way, whether talking, listening or playing. And for that, it needs to unite more than one capacity, and these capabilities do not need to be integrated separately, as they have already been created together.
In addition to robots, there are artificial intelligences that use:
- just a modeling (or program): in this case, the technology serves a specific purpose and has only one capacity, for example, recognize images;
- various models (or programs): in this case, each model defines a different capacity and they are integrated in order to work together.
How artificial intelligence is created
A technology based on artificial intelligence is created through computational programming, as we already mentioned. But this is done within parameters different from conventional programming.
It is necessary to use a set of techniques and resources that will use the calculations to learn and not just respond to commands. Learning happens when the machine or tool finds the calculation that solves a problem. And each new calculation, or learning, is being stored for use in future situations.
What it takes to create it
Basically, you just need to have a machine/computer capable of doing calculations and run the models or models continuously.
It is possible to do this in a on-premises or cloud server. But the less resources and less storage capacity, the more time it will take to create it. And the more resources, the less time.
Ways to train artificial intelligence
The learning of an artificial intelligence occurs in a similar way to that of the human being. Therefore, in addition to learning by performing calculations, she also learns through information and data provided by those who are training her and also through interaction with users.
The way it is trained depends on how the algorithm is built and can be of three types:
Supervisioned: in this case, the person who is training tells AI what answer you want it to give. For example, she shows an image of a cat to her and, through some code, sends the following message: "I want you to say that this is a cat".
Then he shows the image of a dog and says "I want you to say that this is a dog". It does this with several and several images and when showing an image of a cat that was not used in training, the AI will be able to say that it is a cat.
Semi-supervised: in this mode, the person who is training, for example, takes some samples and informs the AI that they are cats, takes others and informs them that they are dogs and takes others and says nothing. And AI, using samples of cats and dogs, does the classification of those that have not been identified alone.
Unsupervised: in this case, the person says no answer and leaves the AI to respond alone. For example, following the example of the cat, the person shows several images of cat and dog mixed together and the AI itself will create ways to differentiate one thing from the other without someone having to say which are cats and which are dogs.
Types of artificial intelligence
There are many types of artificial intelligence with different capabilities, it depends on the algorithm used.
Some are extremely specialized, using specific algorithms, Be natural language processing (PLN) and computer vision. But the vast majority are based on machine and deep learning techniques.
Intelligences based on machine learning, or machine learning, use neural networks - computer systems with interconnected nodes that act like human neurons.
For this reason, they are able to modify their behavior autonomously, based on their own experience, resulting from the training we mentioned earlier and from the interaction with data and information provided by the technology user, the so-called navigation analysis.
They are a little bit simpler compared to deep learning, as they process data with less speed, so they work with less specialized capabilities.
Intelligences based on deep learning, or deep learning, use large neural networks with several layers of processing, or layers of learning, so they can learn more complex patterns and are able to process a much larger amount of data in less time.
They are generally used for more specialized capabilities, such as audio and image processing.
8 examples of artificial intelligence in your daily life
Have you noticed that the universe of artificial intelligence it is quite broad and complex, you already know that not all AI is a robot and that not every robot has a physical body, as in the movies.
There are many different forms of artificial intelligence and also many ways to create and train them, with countless possibilities and applications.
And that is precisely what makes it possible today to be present in our daily lives in various areas and activities that sometimes we do not even imagine, including medicine, entertainment, online commerce, among many others.
Discover some examples of the application of artificial intelligence in our daily lives:
Today, most e-mail services, such as Gmail and Outlook, use artificial intelligence to identify possible SPAM messages and prevent them from filling your inbox or until they harm you in some way, through viruses or fraud.
2. Social networks
One of the reasons why social networks are so addictive is the customization capability and this is possible through the use of artificial intelligence.
How does she monitoring everything that is done during navigation and In real time, can make recommendations for more assertive friendships and show the most relevant ads to each person.
In addition, artificial intelligence also understands the emotionality of users from their posts and, with this, highlights the most relevant content and images and removes those considered inappropriate.
3. Streaming services
Streaming services, such as Netflix and Spotify, are also a huge success in entertainment because of customization made by artificial intelligence.
This customization happens mainly by recommendation systems, which through intelligence navigation analysis are able to show the most relevant contents: podcasts, music, movies and series similar to the most watched and listened to.
Google is one of the biggest examples of using artificial intelligence in everyday life. The global company has been using this technology for a long time and in almost all the products and services it provides.
It is present in the functioning of e-mails - as is the case mentioned in example 1 -, in applications, such as Google Lens, which searches for image recognition, Google Maps and even software created by the company and aimed at other sectors, such as that of medicine.
But I highlight here, Google Ads and the search engine, which is the most used worldwide and which, through the learning of intelligence, has evolved and has become more and more assertive.
This technology allows search results to appear more and more speed and that the tool recognizes synonyms, related subjects, similarity between letter sounds, among other things.
The more people use it, the more it learns about search intent and behavior, generating better EXPERIENCE for users.
In the case of Google Ads, artificial intelligence is mainly focused on navigation analysis, using this information to recommendation personalized ads and therefore more assertive.
As AI analyzes all user navigation, it is able to show the most relevant products in smart shop windows and customized. With it, even the launch window is customized for each person with greater speed and efficiency, as in addition to personalized the showcases are autonomous, reducing the need for manual work.
But, in addition to showcases, today artificial intelligence is also present in smart search for e-commerce, facilitating the search for products within the virtual store.
The advantages of using this technology are the search speed; a phonetic similarity; - which recognizes the sounds of the words and shows the products even with a typo - the color search automated, through the image recognition; behavioral search; voice search e image search.
In medicine, artificial intelligence is already widely used as well, and that is why even medical treatments today can be much more personalized when using this resource.
One field of medicine that deserves to be highlighted for advances through AI is oncology. Google itself has developed software designed to detect the breast cancer and lung and proved to be much more effective than doctors themselves in recognizing the disease, through radiographic analyzes.
7. GPS applications
GPS applications, now so essential in our routine, also make use of artificial intelligence to constantly and real-time monitor traffic, showing the best route, giving information about accidents, police blitzes and much more.
It is also present in food delivery or delivery applications, which have an internal GPS system to monitor and report on the current location of the order.
8. Customer service
Chatbots are a great example of a robot without a physical body. They simulate a human being in the chat conversation and are an excellent service tool, as they allow any and all users to be served immediately, solving or directing them to the responsible sector. This streamlines the process and optimizes employees' time.
Ufa! There's really a lot to talk about artificial intelligence. Not a lifetime would be able to cope, after all, this technology is constantly developing.
We mention only a few examples, but there are a multitude of other areas and sectors that use it for better results. How about continuing on this technological odyssey and reading about image recognition in e-commerce?