Podcast
Questions and Answers
What is the primary characteristic of Narrow AI?
What is the primary characteristic of Narrow AI?
- Ability to learn beyond its limitations
- Ability to perform a dedicated task with intelligence (correct)
- Ability to generalize to new situations
- Ability to perform multiple tasks
Which of the following is NOT a characteristic of Narrow AI?
Which of the following is NOT a characteristic of Narrow AI?
- Can only perform within its field
- Trained for a specific task
- Can fail in unpredictable ways
- Able to perform beyond its limitations (correct)
What happens when Narrow AI goes beyond its limits?
What happens when Narrow AI goes beyond its limits?
- It becomes more accurate
- It becomes more efficient
- It becomes more intelligent
- It can fail in unpredictable ways (correct)
Which of the following is an example of Narrow AI?
Which of the following is an example of Narrow AI?
What is the current state of Narrow AI in the world of Artificial Intelligence?
What is the current state of Narrow AI in the world of Artificial Intelligence?
Study Notes
Weak AI or Narrow AI
- Narrow AI refers to a type of Artificial Intelligence that specializes in performing a single dedicated task with intelligence.
- It is the most common and widely available form of AI in the world of Artificial Intelligence.
- Narrow AI has limitations, as it is only trained for one specific task and cannot perform beyond its field.
- If Narrow AI goes beyond its limits, it can fail in unpredictable ways.
- Examples of Narrow AI applications include:
- Language translation tools, such as Google Translate
- Playing strategic games, like chess
- Providing purchasing suggestions on e-commerce websites
- Autonomous vehicles, or self-driving cars
- Speech recognition systems
- Image recognition technologies
Studying That Suits You
Use AI to generate personalized quizzes and flashcards to suit your learning preferences.
Description
Learn about Narrow AI, a type of Artificial Intelligence that specializes in a single task. Understand its limitations and examples of its applications.