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If you Google the word "artificial intelligence" and somehow open this article, or use Uber (Uber) to take a taxi to work, then you take advantage of artificial intelligence.

There are numerous examples of artificial intelligence affecting our lives. Although some people call it the phenomenon that "robots rule the world with evil geniuses", we cannot deny that artificial intelligence makes life easier by saving time, money and energy.

Terminology

Artificial intelligence refers to the phenomenon that machines understand, analyze and learn data through specially designed algorithms, thus acting as a blueprint for human thinking. Artificial intelligence machines can remember human behavior patterns and adjust them according to their preferences.

During our discussion, you will encounter that the main concepts closely related to AI are machine learning, deep learning, and natural language processing (NLP). Before we go on, let's learn about this.

Machine learning (ML) involves teaching machines about important concepts through big data as an example. Big data needs to be constructed (in machine language) so that machines can understand. This is done by providing them with the right algorithm.

Deep learning (Deep Learning) is one step ahead of ML, which means that it learns through presentation, but does not need to structure the data to make it meaningful. This is due to the artificial neural network inspired by human neural structure.

Natural language processing (NLP) is a language tool in computer science. It enables machines to read and interpret human language. NLP allows automatic translation of human language data and enables two entities (computers and humans) that use different languages to interact.

Now that you have mastered the terminology, let's delve into the examples of artificial intelligence and how they work.

Eight examples of artificial intelligence

Here are eight examples of artificial intelligence that you might encounter every day, but you may not be aware of their AI aspects.

1. Google Maps and ride-hailing apps

How does the map application know the exact direction, the best route, and even road obstacles and traffic jams? Not long ago, only GPS (satellite-based navigation system) was used for travel navigation. But now, artificial intelligence is included, allowing users to get a better experience in a specific environment.

Through machine learning, the app algorithm remembers the edges of the building, which are entered into the system after the staff manually identifies them. This allows you to add clear architectural visual effects to the map. Another feature is the ability to recognize and understand handwritten house numbers, which can help commuters find the house they want. Places without formal street signs can also be identified by their outlines or handwritten labels.

The application has been taught to understand and identify traffic. Therefore, it recommends the best way to avoid roadblocks and congestion. The AI-based algorithm also tells users the exact distance and time to arrive at the destination because it is taught to calculate according to traffic conditions. Users can also view pictures of their location before arriving at their destination.

Therefore, through the use of similar AI technology, a variety of ride applications have emerged. So whenever you book a taxi from the application by locating your location on the map, it works like this.

two。 Face detection and recognition

Using virtual filters on our faces when taking pictures and using facial recognition codes to unlock mobile phones are two applications of artificial intelligence, which have now become part of our daily life. The former includes face detection, that is, recognition of any face. The latter uses face recognition to recognize specific faces.

How does this work?

Intelligent machines often match and sometimes even exceed their capabilities. Human babies begin to recognize facial features such as eyes, nose, lips and face shapes. But that's not what a face is all about. There are too many factors that make a person's face different. Intelligent machines are taught to recognize facial coordinates (x, y, w and h, which form a square around the face as areas of interest), landmarks (eyes, nose, etc.) and alignment (geometry).

Face recognition is also used by government agencies or airports for surveillance and security. For example, London's Gatwick Airport (Gatwick Airport) uses facial recognition cameras as ID checks before allowing passengers to board a plane.

3. Text editor or autocorrect

As you type a document, there are built-in or downloadable autocorrect tools that check for spelling errors, grammar, readability, and plagiarism based on their complexity.

It must have taken you some time to learn the language before you can use English fluently. Similarly, artificial intelligence algorithms also use machine learning, deep learning and natural language processing to identify incorrect language usage and make corrections.

Linguists and computer scientists work together to teach machine grammar, just like at school. Machines are provided with a large amount of high-quality language data, which is organized in a way that the machine can understand. Therefore, even if you use a single comma incorrectly, the editor marks it red and prompts for suggestions.

The next time you ask the language editor to check the document, know that you are using one of many examples of artificial intelligence.

4. Search and recommendation algorithm

When you want to watch your favorite movies or listen to music or shop online, do you notice that the suggested content is completely in line with your interests? This is the function of artificial intelligence.

These intelligent recommendation systems can learn about your behaviors and interests from your online activities, and provide you with similar content. Through continuous training, personalized experience can be achieved. The data is collected at the front end (from users), stored as big data, and analyzed through machine learning and deep learning. It can then predict your preferences through suggestions without any further search.

Similarly, the optimized search engine experience is another example of artificial intelligence. Usually, our popular search results will find the answer we want. How did it happen?

Provide data to the quality control algorithm to identify high-quality content that goes beyond SEO spam. This helps to sort search results in ascending order according to quality to get the best user experience.

Because search engines are made up of code, natural language processing technology can help these applications understand humans. In fact, they can predict the questions people will ask by compiling the top searches and predicting the queries they start typing.

New features such as voice search and image search are also being programmed into the machine. If you want to find the songs played in the mall, just put your phone next to it, and the music recognition app will tell you the content of the song in a few seconds. After filtering in the rich song database, the machine will also tell you all the details about the song.

5. Chat robot

As a customer service, answering questions can be time-consuming. An artificial intelligence solution is to use algorithms to train machines and use chat robots to cater to the needs of customers. This enables the machine to answer frequently asked questions and accept and track orders.

Chatbots are taught to imitate the conversation style of customer representatives through natural language processing (NLP). Advanced chatbots no longer require specific input formats (for example, yes / no questions). They can answer complex questions that require detailed answers. In fact, they are just another example of artificial intelligence, and they come across as customer representatives.

If you have a poor evaluation of the response received, the robot will identify the error and correct it next time to ensure maximum customer satisfaction.

6. Digital assistant

When we do our best, we often turn to digital assistants to perform tasks on our behalf. When you are driving for coffee with one hand, you may ask your assistant to call your mother. An assistant, such as Siri, will visit your contact, identify the word "Mom" and make a call.

Siri is an example of a lower-level model that can only respond as you speak, not give complex answers. The latest digital assistants are proficient in human language and integrate advanced NLP and ML. They understand complex command inputs and give satisfactory output. They are adaptive and can analyze your preferences, schedules, and habits. This enables them to systematize, organize, and plan transactions for you in the form of reminders, tips, and schedules.

7. Social media

The emergence of social media provides a new way of narrative for the world, providing excessive freedom of speech. However, it also brings some social drawbacks, such as cyber crime, cyber bullying and hate speech. A variety of social media applications are using artificial intelligence support to control these problems and provide users with other interesting features.

AI algorithm can find and delete posts containing hate speech quickly, much faster than humans. This is possible through their ability to recognize hate keywords, phrases and symbols in different languages. These have been entered into the system, which has the additional function of adding new words to its dictionary. The neural network architecture of deep learning is an important part of this process.

Emoji has become the best way to represent all kinds of emotions. AI technology can also understand this digital language because it can understand the meaning of a particular text and prompt the correct emoji as part of the predicted text.

Social media is a good example of artificial intelligence, which can also understand content that resonates with users and suggest similar content to them. Facial recognition is also used in social media accounts to help people tag their friends through automatic advice. Smart filters can identify and automatically remove spam or unwanted messages. Smart reply is another feature that users can enjoy.

Some future plans for the social media industry include the use of artificial intelligence to identify mental health problems, such as suicidal tendencies, by analyzing published and consumed content. This can be forwarded to a mental health doctor.

8. Electronic payment

Banks are now using artificial intelligence to facilitate customers by simplifying the payment process.

The way to detect fraud by observing users' credit card spending patterns is also an example of artificial intelligence. For example, the algorithm knows which product user X buys, when and where to buy it, and in what price range the price falls. When some abnormal activities are not suitable for the user's personal data, the system will immediately remind the user of X.

Summary

Artificial intelligence algorithms go beyond human capabilities and can save time, allowing scientists to devote their energies to other more important discoveries.

The artificial intelligence examples we have discussed can not only serve as a source of entertainment, but also provide countless utilities that we have become so dependent on. The field of artificial intelligence is still in its infancy, and there are more inventions that will replicate human capabilities more accurately.

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