What is Artificial Intelligence Technology? Real-Life Examples

Artificial Intelligence Technology

In computer science, Artificial Intelligence Technology (AI) is the intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans.

Colloquially, the term “artificial intelligence” is used to describe machines (or computers) that mimic “cognitive” functions that humans associate with the human mind, such as “learning” and “problem-solving”.

As machines become increasingly capable, jobs once thought to require human intelligence are being done by machines. Many experts believe that AI will revolutionize the economy much as electricity did 100 years ago.

artificial intelligence
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How Does AI Work?

There is a lot of misunderstanding about AI, partly because the term describes a wide range of technologies. In general, AI refers to systems that can learn and work independently rather than being explicitly programmed. This can be done through various methods, including machine learning and natural intelligence.

Machine learning is a method of teaching computers to learn from data. They are given feedback on their performance and then use this information to improve their future predictions or actions.

This is done through algorithms that analyze data and identify patterns.

Machine learning can be used for speech recognition and object identification tasks.

Natural intelligence is a type of AI that imitates the workings of the human brain. It involves programming computers to learn by themselves, through experience and trial and error.

This process is known as “training” the computer and can involve millions of examples.

Real-Life Examples of Application of AI

Artificial Intelligence (AI) is no longer a figment of the imagination but is becoming a reality in many aspects of our lives. From how we drive to how we make decisions, AI is slowly but surely becoming a part of our everyday life. Here are five real-life examples of AI that you may not have even realized were AI.

Driverless Cars

As AI technology continues to evolve, more and more real-life applications of it are being discovered. One such application is the use of AI in driverless cars.

By using sensors and AI algorithms, driverless cars can “see” the world around them and make decisions accordingly. This allows them to navigate roads and react to obstacles without human intervention.

driverless cars
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Driverless cars have the potential to revolutionize transportation, making it safer and more efficient. They could also reduce traffic congestion and pollution levels.

Personal Assistants

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Your smartphone probably already has a personal assistant built-in, such as Siri or Cortana. These assistants use AI to understand your natural language and perform tasks for you, like setting alarms or sending messages.

Fraud Detection

Fraud detection is one of the most common applications for artificial intelligence. AI can be used to identify patterns in fraudulent behavior, which can then be used to develop strategies to prevent or catch fraud.

For example, banks use AI to detect fraudulent transactions, insurance companies use it to detect fraudulent claims, and online retailers use it to prevent fraudulent purchases.

Targeted Advertising

Advertisers are always looking for new and innovative ways to target their ads. With the advent of artificial intelligence, they have a new tool. AI can be used to target ads based on a user’s past behaviour. It can also identify potential customers and recommend products or services to them.

This allows advertisers to focus their efforts on the people most likely to buy their products. AI also makes it possible to personalize ads to be more relevant to the person seeing them. This increases the likelihood that the ad will be seen and remembered.


Since then, artificial intelligence has been used in more serious applications. For example, it is now used in cybersecurity products to help protect networks from attacks.

AI can identify threats that are not detectable by humans and take action to stop them. It can also analyze data to find patterns that could indicate a cyberattack is taking place.

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