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 16 examples in your daily life.
You must have already asked yourself: what is artificial intelligence? And to answer this it is very common to say that artificial intelligence (AI) is the simulation of human intelligence in machines, giving them the ability to learn, reason, deduce, make predictions, etc.
And we often associate it with the image of a physical, humanized robot, as in the movies. But, in most cases, it is not like that, 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
- How artificial intelligence is created
- Types of artificial intelligence
- 16 examples of artificial intelligence in your daily life
What is artificial intelligence
Artificial intelligence is a branch of computing study and research that seeks 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 tech — and not a concept — it is right to say that it is made 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 made in a different way, so that the machine's responses are as close as possible to what the responses of a human brain would be, 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.
On the other hand, the programs made within the parameters of artificial intelligence use intelligent algorithms, allowing a machine or a hardware 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, aimed at interpreting features of image, audio, text, etc.
It is possible to integrate these models in different ways, whether through pure and simple mathematics or in more complex ways, as this integration varies according to the creativity of whoever is creating the AI.
Is all artificial intelligence a robot?
No, 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 that we can interact with in some way, whether by talking, listening or touching.
And for that, it needs to unite more than one capability, and these capabilities don't need to be integrated separately, as they were already created together.
In addition to robots, there are artificial intelligences that use:
- only a model (or program): in this case, the technology serves a specific purpose and has only one capability. For example: recognizing images;
- multiple models (or programs): in this case, each model defines a different capability, and later they are integrated to work together.
How artificial intelligence is created
A technology based on artificial intelligence is created through computer programming, as we have 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 calculations to learn and not just respond to commands. Learning happens when the machine or hardware find the calculus that solves a given problem. And each new calculation, or learning, is being stored to be used in future situations.
What it takes to create it
Basically, to create an artificial intelligence, it is only necessary to have a machine/computer capable of making calculations and running the models or models continuously.
You can do this on a local server or in the cloud. But the fewer 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 the human being. Therefore, in addition to learning through 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 the way the algorithm is built; and can be of three types. Check it out below.
Supervisioned: In this case, the person who is training tells the AI what answer he wants it to give. For example, it shows an image of a cat to her and, through some code, passes 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 that they are dogs, and takes others and says nothing. And the AI, using the samples of cats and dogs, does the classification of those that have not been identified.
unsupervised: In this case, the person doesn't say any answers and leaves the AI to answer on its own. For example, the person shows several images of cat and dog mixed together and the AI itself will identify patterns and create ways to differentiate one thing from the other — without anyone 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 use extremely specific algorithms, such as natural language processing (NLP) and computer vision. But for the most part they are based on machine and deep learning techniques.
The intelligences based on machine learning, or machine learning, use neural networks — computing systems with interconnected nodes that act like human neurons.
Therefore, they can modify their behavior autonomously, from their own experience — arising 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 simpler compared to those based on deep learning, as they process data at a slower speed and therefore work with less specialized capabilities.
Intelligences based on deep learning, or deep learning, use large neural networks with several processing layers, or learning layers, 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.
Natural Language Processing (NLP)
Natural language processing (NLP), as we said, is a type of extremely specialized artificial intelligence that uses unique algorithms to understand and simulate human language.
That is, it allows a technology to understand what a human being says or writes and to formulate understandable responses using human language as well. Well-known examples of the use of NLP in our daily lives are virtual assistants and chatbots.
Computer vision, in turn, is a branch of artificial intelligence that studies and develops image processing by machines, giving them the ability to interpret visual information, that is, to see. And from that start commands.
Unlike NLP, computer vision does not try to imitate human vision, but rather to go beyond. Therefore, it is considered more powerful and more assertive than the human visual ability itself.
This type of AI is used to image recognition and facial. In the industry, it works in the identification of labels, codes, etc., inspection and prevention of problems in machines; in autonomous cars, it serves to check signs; it is us search systems, allows searching by image.
16 examples of artificial intelligence in your daily life
You have already noticed that the universe of artificial intelligence is quite broad and complex; you already know that not every AI is a robot; and that not every robot has a physical body, as in the movies. He also saw that there are many different forms of artificial intelligence and many ways to create and train them, with countless possibilities and applications.
And this is precisely what makes it possible for it to be present in our daily lives in several areas and activities that we sometimes 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:
1) Virtual assistants
2) Customer service
4) Social networks
5) Streaming services
10) Digital security
11) Human resources
12) GPS Apps
1) Virtual assistants
Increasingly present in Brazilian homes, virtual assistants are among the main examples of artificial intelligence in our daily lives.
The best known are Siri (Apple), Cortana (Windows), Google Assistant (Google) and Alexa (Amazon). With them, it is possible to do a multitude of things, such as online surveys; voice shopping; ask to hear a song; and even talk. Kids party with these features, and adults aren't far behind.
2) 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.
Today, most of the services of email, like Gmail and Outlook, uses artificial intelligence to identify possible SPAM messages and prevent them from filling your inbox or even harming you in any way, through viruses or fraud.
4) 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.
As it monitors everything that is done while browsing and in real time, it is able to make more assertive friendship recommendations 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.
5) Streaming services
Streaming services, such as Netflix and Spotify, are also very successful in entertainment because of the personalization made by artificial intelligence.
This personalization happens mainly by recommender systems, which, through intelligence navigation analyses, are able to show the contents most relevant: podcasts, music, movies and series similar to the most watched and listened to by each person.
Another example of the use of artificial intelligence in everyday life is the universe of games. This segment is increasingly innovative, and some of the capabilities powered by AI are the Augmented Reality and virtual reality, which make games more realistic every day.
Banks are also an example of the use of artificial intelligence to automate and optimize processes. And not just digital banks. Traditionals are also diving headlong into this technology to perform market data analysis, financial management, customer relationships (with the aforementioned virtual assistants and chatbots), among other things.
Google is one of the biggest examples of the use of artificial intelligence in everyday life. The global company has been using this technology for a long time and in almost every product and service it offers.
It is present in the functioning of e-mails — as is the case cited in example 3 —; 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 medicine.
But it is worth mentioning the Google Ads and the search engine, which is the most used in the world and which, through the learning of intelligence, has evolved and brought increasingly assertive research results.
This technology allows search results to appear more and more quickly and the tool recognizes synonyms, related subjects, similarity between letter sounds, among other things. and whatthe 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 personalized. With it, even the launches window is customized for each person with greater speed and efficiency, because 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; — that recognizes the sounds of words and shows the products even with typos — automated color search; behavioral search; voice search; e image search.
10) Digital security
Artificial intelligence is also widely used today in digital security systems and software, helping to identify and prevent hacker intrusions and other dangers involving user data — especially when they need to perform a online payment.
11) Human resources
Another important example of the use of artificial intelligence in everyday life is in the human resources sector. In this case, AI helps in collecting data and identifying relevant profiles for certain vacancies; in people management; and even in time control, with the use of facial recognition.
12) GPS Apps
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.
In transport, in addition to the use of GPS, artificial intelligence stands out in autonomous cars, who can move, identify and respect traffic signs through computer vision. But it is also present in the tracking of public transport and in delivery logistics.
Artificial intelligence is also present in many industries, helping to automate and optimize the production, packaging, labeling and checking of products and machines.
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.
A field of medicine that deserves to be highlighted for advances through AI is oncology. Google itself has developed software to detect the breast cancer and lung and proved to be much more effective than doctors themselves in recognizing the disease, through radiographic analyzes.
Another highlight is the use of this technology in the fight against Covid-19, identifying outbreaks of contamination; helping to care for patients remotely; and the automatic elimination of fake news on social networks.
The use of artificial intelligence has also arrived in the field of agriculture for some time. Some examples are the autonomous machines and tractors and the monitoring of climate and the health of the plantations through drones based on AI, increasing the productivity and quality of the crops.
As you have seen, the topic is complex and there is a lot to cover in order to understand in depth what artificial intelligence really is and everything that surrounds it. After all, this technology is constantly developing.
We cite just a few examples here, but there are countless other areas and sectors that use it for better results and the trend is that its reach will grow more and more.
Written by: Tania d'Arc