1. Foundational Concepts of AI
Artificial Intelligence (AI) encompasses the simulation of human intelligence in machines to perform tasks such as learning, language understanding, and decision-making. The evolution of AI has led to distinct domains, including machine learning, natural language processing, and robotics, with applications across various fields. While AI enhances efficiency and accuracy, it poses ethical challenges that require careful consideration.
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What we have learnt
- AI simulates human intelligence through machines capable of learning and decision-making.
- The history of AI showcases significant milestones from its conceptualization to its application in various sectors.
- AI is categorized by its capabilities and functionalities, influencing its application and development.
Key Concepts
- -- Artificial Intelligence
- The simulation of human intelligence in machines that are programmed to think and learn.
- -- Machine Learning
- A subset of AI focused on the development of algorithms that allow computers to learn from and make predictions based on data.
- -- Natural Language Processing
- A domain of AI that enables machines to understand and generate human language.
- -- Computer Vision
- The field of AI that enables machines to interpret and make decisions based on visual data.
- -- Ethics in AI
- The moral principles guiding the creation and use of AI technologies, emphasizing fairness, privacy, and transparency.
Additional Learning Materials
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