Class 8 introduces students to deeper concepts of Artificial Intelligence such as problem solving, decision making, logic, and real-world AI systems. Students begin to understand how AI works internally.
Artificial Intelligence enables machines to think and act like humans. Machine Learning is a subset of AI that allows systems to learn automatically from data and improve their performance over time.
AI solves problems by analyzing data, identifying patterns, and selecting the best solution. Examples include route planning in Google Maps and game-playing AI.
AI systems make decisions using rules, probabilities, and learned data. For example, AI decides whether an email is spam or not based on past data.
Neural networks are inspired by the human brain. They consist of layers of connected nodes that process information and help AI systems recognize images, voices, and patterns.
Natural Language Processing allows machines to understand human language. Examples include chatbots, voice assistants, and translation apps.
Computer Vision enables machines to see and understand images and videos. It is used in face recognition, medical imaging, and self-driving cars.
AI is used in smartphones, social media, online shopping, banking, and entertainment. Recommendation systems suggest videos, songs, and products based on user behavior.
AI systems can become biased if trained on unfair or incomplete data. It is important to ensure fairness, accuracy, and transparency while developing AI.
AI systems collect and process data. Protecting personal information and respecting privacy is essential. Ethical AI ensures data is used responsibly.
Students can create simple AI-based projects such as chatbot ideas, image classification concepts, or AI-based quizzes without coding.
By the end of Class 8, students will understand how AI solves problems, processes language and images, and the importance of fairness, privacy, and ethics in AI.
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