For users, what additional kinds of artificial intelligence are there? Give instances of how each of the several subfields included by the phrase "artificial intelligence" may be put to use.
For users, what additional kinds of artificial intelligence are there? Give instances of how each of the several subfields included by the phrase "artificial intelligence" may be put to use.
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Transcribed Image Text:**Understanding the Different Types of Artificial Intelligence and Their Applications**
Artificial Intelligence (AI) is a broad field with many subfields and applications. Below, we explore various kinds of AI and provide examples of how they can be used:
1. **Machine Learning (ML):** A subset of AI that involves training algorithms to learn patterns from data and make predictions or decisions. For instance, it is used in recommendation systems, such as Netflix suggesting movies based on your viewing history.
2. **Natural Language Processing (NLP):** This subfield focuses on the interaction between computers and humans through language. An example is virtual assistants like Amazon's Alexa, which understand and respond to user queries.
3. **Robotics:** AI in robotics involves creating intelligent machines that can perform tasks autonomously. Examples include robotic vacuum cleaners like Roomba, which can navigate and clean homes without human intervention.
4. **Computer Vision:** This involves teaching machines to interpret and make decisions based on visual data. For example, self-driving cars use computer vision to detect and navigate around obstacles.
5. **Expert Systems:** These are AI programs that emulate the decision-making ability of a human expert. For example, medical diagnosis systems can provide doctors with possible diagnoses based on patient data.
By understanding and harnessing these various types of AI, we can develop innovative solutions that improve efficiency, enhance user experiences, and solve complex problems in numerous fields.
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Note: The original text from the image has been extended and elaborated for clarity and educational purposes.
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