If you searched the term “artificial intelligence” on Google and somehow ended up on this article, or agreed to work using Ober.

There are many examples of artificial intelligence (AI) that affect our lives. Although some have called it a “bad robot taking over the world” trend, it is impossible to deny that artificial intelligence has saved us a lot of time, money, and energy. Made easy

Artificial intelligence refers to this material where a machine works as a blueprint for the human mind, understanding, analyzing, and learning data through specially designed algorithms. Artificial intelligence machines can memorize patterns of human behavior and adapt to their preferences.

One of the central concepts you will come across in our discussion on examples of artificial intelligence is machine learning, natural language processing, and deep learning(NLP). Let’s understand them before we move on.

Machine learning (ML) includes machines that teach important concepts through examples through big data that need to be built into devices (in machine language) to understand them. All this is done by opening the correct algorithm.

Deep learning is one step ahead of ML, meaning it learns through representation, but you don’t have to create data to make sense of it. This is because of the artificial neural networks that affect the human nervous system.

Natural language processing is a linguistic tool. This enables machines to read and interpret human language. The NLP allows automatic translation of human language data and enables two entities (computers and humans) to help speakers of different languages ​​to communicate.

Now that you are familiar with the terms, let’s look at examples of artificial intelligence and how they work.

Although there are numerous examples of artificial intelligence throughout the business, AI is still often considered a nascent, still emerging force.

AI is widely deployed. This is important for the finance and tech platforms of many retail and healthcare, and media businesses. Examples of AI and deep learning are not so useful for choosing the representative AI example below was to select one of the excesses.

Although the examples of artificial intelligence below are very different from each other, they all share one thing in common. The more data they are fed, the more they learn. This is the essence of artificial intelligence: a software system that knows based on input.

This is the critical difference between Big Data Analytics and AI: Big Data can scan data and show trends, but AI can adjust its response to the input.


 Examples of artificial intelligence AI

Here is a list of artificial intelligence examples that you are likely to encounter daily but whose AI aspect you may not be familiar with AI.

01. Face Detection and Recognition

Using virtual filters on our faces when we take photos and using Face ID to unlock our phones are two AI applications that are now part of our daily lives. Detecting the previous face indicates any human face. The latter uses facial recognition to identify a specific look.

Intelligent machines are often found and sometimes even more so! – Human abilities. Human babies begin to recognize facial features such as eyes, nose, lips, and facial features. But it’s not all one face.

Many factors make human faces unique. Smart machines identify facial points (X, Y, W, and H; make a square around the face that forms an area of ​​interest), markings (eyes, nose, etc.), and align (geometric structures) Is taught. It takes the human ability to recognize faces in many ways.

Face recognition also uses for and security at government facilities or airports. For example, London’s Gatwick Airport uses face recognition cameras as an identification check before allowing passengers to board a plane. Face detection is an examples of artificial intelligence.

Read more about Top 20 IoT development companies for 2021.

02. Chatbots

As a user, getting answers to questions can be time-consuming. An artificially intelligent solution is to use algorithms to train machines to meet users through chatbots. This enables the devices to answer the general questionnaire and take and know the order.

Natural Language Processing (NLP) teaches how to mimic the conversations of customer representatives. Advanced chatbots no longer require specific input formats (such as yes / no questions).

They can answer complex problems that require detailed answers. When they are other examples of artificial intelligence, they will give the impression of a customer representative.

If you are given a bad rating for the feedback you receive, the bot will point out its error and correct it next time, ensuring maximum user satisfaction.


03. Digital Assistants

When our hands are full, we often turn to digital assistants to do the work for us. When you are driving with a coffee cup in one hand, you will ask the assistant to call your mother. Digital assistant work on the principle of AI and is examples of artificial intelligence.

Interestingly, as it is an example of a low-level model that can only respond when spoken and cannot give detailed answers, the latest digital assistants are fluent in human language and include advanced NLP and ML.

They understand complex command input and give satisfactory results. They have adaptive skills that can analyze your preferences, schedules, and habits. This allows them to sort, organize, and plan things for you in the form of reminders, hints, and schedules.

Also, read about Different types of artificial intelligence.


04. Social Media

The part of social media has given the world a new story with the utmost freedom of speech. However, it led to social evils such as cybercrime, cyberbullying, and hate speech. Various social media applications use AI support to overcome these worries and provide other entertainment features.

AI algorithms can find and speed up hate speech posts much faster than humans. This is made possible by identifying hateful keywords, phrases, and symbols in different languages. They are fed into the system, which has the added ability to add neologisms to its vocabulary. Deep learning neural network architecture is an essential part of this process.

Emojis have become a great way to represent different emotions. This digital language is also understood by Artificial technology because it can understand the meaning of a particular part of the text and point to the correct emoji as part of the prediction message.

Social media, being a great example of AI, also gives the user the ability to understand the content that resonates with the user and suggests similar content. The facial recognition feature is also used in social media accounts, allowing people to tag their friends with auto-suggestions.

Smart filters can detect and automatically remove spam or unwanted messages. Smart Answers is another feature that users can enjoy. Social media is also examples of artificial intelligence, as it uses AI.

Some social media industry plans include artificial intelligence to identify mental health problems such as suicidal tendencies such as post and analyze used content. It can be referred to by mental health doctors.

Read more about What is the future of artificial intelligence?

05.  E-Payments

Running the bank for every transaction can be a difficult task. Good news! Banks are now taking advantage of artificial intelligence to facilitate customers by simplifying the payment process. E-payments are the best examples of artificial intelligence.

AI has made it possible to deposit checks from the comfort of your own home. To make online check processing practical, AI specializes in handwriting. E-payments are also examples of artificial intelligence.

The way fraud can be detected by looking at consumer credit card spending patterns is also an example of artificial intelligence. For instance, algorithms know what kind of product the user X buys, when and where, and at what price they fall into brackets. When an unusual activity does not match the user’s profile, the system alerts user X immediately.


06.  Spam Filters

Using ML and other AI technologies, a software system is better and smarter without human help. Fighting spam is an area where ML is urgently needed. No one (or even a team of humans) could keep up with the spam. Gmail, for example, deploys (mostly) ML algorithms to filter spam. These spam filters are also examples of artificial intelligence.

To do this, the spam filter tries to make spammers work faster (or at least continue), continually coming up with creative ways to deceive humans. The spam filter’s AI constantly scans for metadata, such as the sender’s location or keywords in the article line. If it can’t learn, a spam filter can’t work for more than a few days.

Part of AI technology uses inputs from humans. How to classify mail flow to this particular user should be part of learning the spam filter. Artificially intelligent algorithms act as time-savers when they go beyond human capabilities and allow scientists to devote their efforts to other important discoveries.

The examples of artificial intelligence we have discussed provide not only a source of entertainment and offer the innumerable utilities on which we rely so much. The field of AI is still in its infancy, and there are still many inventions that can be used to replicate human abilities more accurately.


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