AI module 1 video 3

Key Concepts:

• Knowledge Representation: How a program represents its domain of discourse.
• Automated Reasoning: AI's ability to plan and make decisions.
• Machine Learning: AI's ability to adapt to new circumstances and data.
• Natural Language Understanding: AI's ability to understand and process human language.
• Machine Vision: AI's ability to "see" and interpret images.
• Speech Recognition: AI's ability to understand spoken language.
• Robotics: The use of AI in controlling and automating robots.

What AI Really Does

AI fundamentally involves knowledge representation, which is how a program models and understands a specific domain. It's about representing the domain of knowledge in a structured way that the AI can use.

Automated Reasoning and Planning

Automated reasoning is a core function of AI. This includes planning tasks, such as a robot finding bananas in another room, planning a visit, or planning a concert. AI is used to create plans and strategies to achieve specific goals.

Machine Learning and Adaptation

Machine learning enables AI to adapt to new circumstances, situations, conditions, and data. It allows AI to learn and improve its performance without explicit programming for every scenario.

Natural Language Understanding

Natural language understanding is the ability of AI to understand and process human language. This includes speech recognition, biometric sensors, and text recognition. The goal is for AI to understand human language and for humans to understand the "language" of machines.

Machine Vision and Data Retrieval

AI models can perform machine vision tasks, allowing them to "see" and interpret images. They can also find data on the web, including data scraping.

Robotics and Other Tasks

AI is used in robotics to control and automate robots. It also encompasses a wide range of other tasks.

Summary of AI Tasks

AI models must be capable of:

• Knowledge representation
• Automated reasoning
• Planning
• Machine learning (developing algorithms without explicit coding)
• Natural language understanding (human-machine and machine-human)
• Machine vision (computer vision)
• Speech recognition
• Text recognition
• Data retrieval
• Robotics

Conclusion

AI encompasses a broad range of tasks, from knowledge representation and automated reasoning to machine learning and natural language understanding. These capabilities enable AI to perform complex tasks, adapt to new situations, and interact with humans in a meaningful way.