AI for Kids - Day 2 past paper PDF

**TBI-IET, University of Calicut \| www.edutecnicia.com \| edutecnicia\@gmail.com \| +91-9847641477** **[AI for Kids -- Day2]** **[25/10/2024 - Friday]** **1. What is Intelligence?** - **Definition**: Intelligence is the ability to think, learn, understand, and apply knowledge in new situa...

**TBI-IET, University of Calicut \| www.edutecnicia.com \| edutecnicia\@gmail.com \| +91-9847641477** **[AI for Kids -- Day2]** **[25/10/2024 - Friday]** **1. What is Intelligence?** - **Definition**: Intelligence is the ability to think, learn, understand, and apply knowledge in new situations. It's how humans and animals solve problems, recognize patterns, and adapt to changes. - **Example**: When we see a friend in a crowd and recognize them instantly, that's our intelligence at work. **Key Characteristics of Intelligence:** - **Problem-Solving**: Ability to figure out solutions. - **Learning from Experience**: Using past knowledge for new situations. - **Adapting**: Being flexible with new challenges or environments. **2. What is Artificial Intelligence (AI)?** - **Definition**: Artificial Intelligence, or AI, is the simulation of human intelligence in computers. AI enables machines to perform tasks that typically require human intelligence, such as understanding language, recognizing images, solving problems, and making decisions. - **Example**: Virtual assistants like Siri or Alexa are examples of AI; they understand spoken commands and respond to them. **AI's Core Goals:** - **Mimic Human Intelligence**: Enabling machines to think and act like humans. - **Automate Tasks**: Performing tasks faster and more accurately than humans. - **Continuous Learning**: AI systems improve over time as they learn from more data. **3. Types of AI** There are three main types of AI, based on their capability: **A. Narrow AI (Weak AI)** - **Definition**: AI that is designed to perform a specific task. It's \"narrow\" because it can't go beyond its programming or learn beyond its limited functions. - **Example**: A spam filter in an email service. It identifies spam messages but cannot perform other tasks like recognizing images. **B. General AI (Strong AI)** - **Definition**: General AI refers to machines that possess the ability to understand, learn, and apply intelligence just like a human. It can learn from experiences and solve a variety of problems. - **Current Status**: General AI doesn't exist yet, but it's a goal for future AI research. **C. Superintelligent AI** - **Definition**: Superintelligent AI would surpass human intelligence in every field, from creativity to problem-solving. - **Current Status**: This is theoretical, and scientists are debating its potential impact on society. **4. Subsets of AI** AI has various subsets, with two key ones being **Machine Learning** and **Deep Learning**. **A. Machine Learning (ML)** **B. Deep Learning (DL)** **5. Applications of AI** AI is transforming numerous fields, making processes faster, smarter, and more efficient. Here are some key application areas: **A. Healthcare** - **Description**: AI helps doctors diagnose diseases, analyze medical images, and even predict patient outcomes. - **Example**: AI can assist in reading X-rays and identifying tumors. **B. Education** - **Description**: AI personalizes learning for students, helping them understand complex topics at their own pace. - **Example**: AI-powered tutoring systems provide personalized support for students based on their learning needs. **C. Retail** - **Description**: AI helps recommend products to customers, manage inventory, and provide personalized shopping experiences. - **Example**: Amazon's recommendation system suggests products based on past purchases. **D. Entertainment** - **Description**: AI helps curate content, such as suggesting movies or music, based on individual preferences. - **Example**: Netflix and Spotify use AI to recommend shows or music that users might enjoy. **E. Transportation** - **Description**: AI is at the core of autonomous vehicles, helping cars to navigate safely without human intervention. - **Example**: Self-driving cars use AI to detect objects, plan routes, and avoid collisions. **F. Finance** - **Description**: AI is used for fraud detection, customer service, and analyzing financial markets. - **Example**: Banks use AI to detect unusual activity on accounts, which could indicate fraud. **G. Manufacturing** - **Description**: AI is used for quality control, predictive maintenance, and automation of production lines. - **Example**: Robots with AI capabilities can inspect products on assembly lines for defects. **H. Agriculture** - **Description**: AI helps in predicting crop yields, managing resources, and detecting plant diseases. - **Example**: AI-powered drones can monitor crop health and suggest treatments. **Summary** - **Intelligence** is the ability to learn, adapt, and solve problems. - **Artificial Intelligence (AI)** allows machines to mimic human intelligence for specific tasks. - **Types of AI**: Narrow AI (limited tasks), General AI (human-like capabilities), and Superintelligent AI (surpassing human intelligence). - **Subsets of AI** include **Machine Learning** (learning from data) and **Deep Learning** (using neural networks for complex tasks). - **Applications of AI**: Healthcare, education, retail, entertainment, transportation, finance, manufacturing, and agriculture.