AI Concepts

Amazon noticed that a customer always buys protein bars and gym clothes around the same time each month. Now, every time that date comes close, Amazon recommends similar items before she even searches for them.

What’s Happening?
Amazon is using past behavior to predict what the customer might want to buy in the future.

Question:
What type of AI is Amazon using in this situation?

• Generative AI

• Predictive AI

• Deep Learning

• Computer Vision

Answer explanation

Amazon is using Predictive AI to analyze the customer's past purchases and anticipate future needs, allowing them to recommend items before the customer actively searches for them.

Ali used a website to write a poem for his school project. He typed, “Write a poem about hope and nature,” and the AI instantly created a 5-stanza poem from scratch.

What’s Happening?
The AI generated new content based on a prompt given by the user.

Question:
What type of AI is being used to create original poems or stories?

• Computer Vision

• Data Science

• Predictive AI

• Generative AI

Answer explanation

The AI used by Ali is a type of Generative AI, which creates new content, like poems or stories, based on user prompts. This distinguishes it from other types of AI that do not focus on content generation.

In a supermarket, a security camera automatically alerts staff if it detects someone picking up an item and walking out without scanning it at the self-checkout. It uses facial recognition and movement tracking to monitor shoppers.

What’s Happening?
The system is using AI to interpret visual data from cameras.

Question:
Which AI technology helps systems "see" and analyze images or video in this case?
A)
B)
C)
D)

• Predictive AI

• Computer Vision

• Machine Learning

• Deep Learning

Answer explanation

The correct choice is Computer Vision, as it enables the system to interpret visual data from cameras, allowing it to analyze images and detect actions like picking up items without scanning.

A music app like Spotify notices that Yusuf always skips slow songs but listens to upbeat tracks all the way through. Over time, the app learns this pattern and starts showing more energetic songs on his playlist.

What’s Happening?
The app learns from Yusuf’s behavior and updates its recommendations.

Question:
Which AI concept allows the app to learn and improve its recommendations over time?

• Generative AI

• Computer Vision

• Data Science

• Machine Learning

Answer explanation

The app uses Machine Learning to analyze Yusuf's listening habits, allowing it to adapt and improve its song recommendations based on his preferences for upbeat tracks.

Self-driving cars like Tesla use multiple cameras, sensors, and data points to make real-time driving decisions—like stopping for pedestrians or changing lanes safely. These decisions come from very complex layers of AI learning from millions of driving examples.

What’s Happening?
The car uses deep neural networks trained on huge amounts of driving data.

Question:
What type of AI is used when machines learn through multiple layers of data like the human brain?

• Machine Learning

• Deep Learning

• Predictive AI

• Data Science

Answer explanation

The correct answer is Deep Learning, as it involves AI learning through multiple layers of data, similar to how the human brain processes information. This is essential for self-driving cars to make complex driving decisions.

A health researcher collects data from hundreds of students about sleep patterns and exam results. After analyzing the data, she finds a strong connection between getting at least 7 hours of sleep and scoring higher on tests.

What’s Happening?
The researcher is using data analysis to find insights and patterns.

Question:
What field involves collecting, analyzing, and interpreting large sets of information?

• Data Science

• Generative AI

• Computer Vision

• Deep Learning

Answer explanation

The researcher is collecting and analyzing data to uncover patterns, which is the essence of Data Science. This field focuses on extracting insights from large datasets, making it the correct choice.