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15 Terms To Understand Artificial Intelligence

15 Terms to Understand Artificial Intelligence

Artificial Intelligence, or AI for short, is something very special we hear about more and more these days. It is like a smart helper that lives in our computers and gadgets. This helper can do things like understand what we say, help us find information, and even play games with us.

Because AI is becoming a big part of our lives, it’s good to know a few simple ideas about it. This will help you understand the news and talk about what’s new and exciting in the world of technology.

Today, let’s learn some common terms people use when they talk about AI. This will make it easier for you to understand and join in the conversation!

Understanding Artificial Intelligence

1. Artificial Intelligence (AI)

Explanation: This term means the ability of a machine to think or learn like a human.

Use: People use it to talk about smart machines or computers.

Examples: “Artificial Intelligence can help doctors find out what illness a patient has.”

“Many smartphones have Artificial Intelligence to make them easier to use.”

2. Machine Learning

Explanation: This is when computers learn new things by themselves without humans having to teach them every step.

Use: It’s used when talking about computers getting better at tasks by practicing.

Examples: “Machine Learning lets our computer get better at recognizing faces.”

“They use Machine Learning to make cars that can drive themselves

3. Deep Learning

Explanation: A type of Machine Learning that uses many layers of processing to understand very complicated things.

Use: When explaining how computers can recognize speech or images.

Examples: “Deep Learning helps your phone understand your voice commands.”

“Cameras use Deep Learning to tell apart different animals in photos.”

4. Algorithm

Explanation: A set of instructions that computers follow to solve problems.

Use: Used to talk about how computers do tasks.

Examples: “The website uses an algorithm to show you movies you might like.”

“There’s an algorithm that helps the robot decide which way to go.”

5. Virtual Reality (VR)

Lady using virtual reality

Explanation: An artificial, computer-made world that people can see and interact with, usually wearing special headsets.

Use: Used to discuss fully digital environments.

Examples: “Virtual Reality can take you on a tour of space from your living room.”

“Doctors use VR to practice surgeries without being in an operating room.”

6. Augmented Reality (AR)

Explanation: A technology that adds computer images to the real world, so you can see both at the same time.

Use: When discussing technology that combines real views with digital elements.

Examples: “Augmented Reality lets you see directions on the road through your phone.”

“With AR, you can try on clothes virtually by looking at your screen.”

7. Big Data

Explanation: Very large sets of data that computers analyze to find patterns or solutions.

Use: Used when talking about handling massive amounts of information.

Examples: “Big Data helps companies understand what their customers really want.”

“Health researchers use big data to track disease trends worldwide.”

8. Automation

Explanation: The use of technology to perform tasks without human help.

Use: Used when discussing machines doing jobs usually done by people.

Examples: “Automation in factories means fewer people are needed to make things.”

“Home automation lets you control lights and heating with your voice.”

9. Internet of Things (IoT)

Explanation: Connecting everyday objects to the internet, so they can send and receive data.

Use: When discussing how regular objects like watches, cars, and even fridges are becoming smart.

Examples: “The Internet of Things lets your coffee maker start brewing as soon as your alarm goes off.”

“Smart thermostats learn your preferences and adjust the temperature automatically.”

10. Cloud Computing

Clouding computing

Explanation: Using the internet to store files and run programs, so you don’t need powerful computers all the time.

Use: When talking about storing data or running software over the internet.

Examples: “Cloud computing lets you access your photos from any device.”

“Businesses use cloud computing to save money on computer servers.”

11. Algorithmic Bias

Explanation: When automated systems have unfair preferences or decisions because of how they were programmed.

Use: Discussing fairness and ethics in AI technologies.

Examples: “They are addressing algorithmic bias by reprogramming the hiring software.”

“Studies show that algorithmic bias can affect how loans are approved.”

12. Robotics

Explanation: The study and creation of robots.

Use: Discussing anything related to designing and using robots.

Examples: “Robotics competition participants must build robots that can navigate mazes.”

“Schools are now including robotics in their science curriculum.”

13. Humanoid Robot

two humanoid robots

Explanation: A robot that looks and acts a bit like a person.

Use: When talking about robots that are designed to resemble and behave like humans.

Examples: “The humanoid robot can walk and talk like a human.”

“They displayed a humanoid robot at the tech fair that could dance!”

14. Interactive Learning

Explanation: A way of learning where students and educational software respond to each other.

Use: Talking about educational technology that adapts to how students learn.

Examples: “Interactive learning apps adjust the difficulty level as you answer questions.”

“Children use interactive learning tools that make mastering new words fun.”

15. Speech Recognition

Explanation: The ability of a machine or program to understand and process what people say.

Use: Discussing how machines can listen and respond to human speech.

Examples: “Speech recognition lets your phone understand when you ask for directions.”

“Many cars now use speech recognition to allow drivers to make phone calls hands-free.”

The best of AI with ELSA Speak

These concepts are just the beginning of understanding the powerful world of artificial intelligence. For English learners looking to improve their language skills through AI, using our app, ELSA Speak, can be incredibly beneficial.

ELSA employs technologies like speech recognition and interactive learning to help users practice and perfect their English pronunciation and speaking abilities.

You can learn more and start practicing by visiting ELSA Speak’s website. Join students from around the world who are already improving their English with ELSA!

*Learn more about using AI to improve your academic English here

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