Lesson Content: What is AI?
What is Artificial Intelligence (AI)? AI stands for Artificial Intelligence. It refers to machines or computers designed to think, learn, and solve problems like humans. AI can analyze data, recognize patterns, make decisions, and even create new things like text, images, or music.
How is AI Different from Regular Software?
- Regular Software: Follows specific instructions given by a programmer. For example, a calculator can only do math because it’s programmed to.
- AI: Learns from data and can adapt to new situations. For instance, an AI chatbot learns from previous conversations to give better answers.
How Does AI Work?
- Machine Learning (ML):
- AI learns by analyzing large amounts of data and identifying patterns.
- Example: An AI system is shown thousands of cat pictures. It learns what a cat looks like and can then identify cats in new images.
- Deep Learning (DL):
- A more advanced type of machine learning.
- Uses “neural networks,” which are layers of interconnected systems that mimic how the human brain works.
- Example: AI can not only recognize faces in photos but also guess emotions based on facial expressions.
How Has AI Evolved?
- Old AI (Rule-Based):
- Early AI followed fixed rules, like if-then statements. These systems were limited and could only perform specific tasks.
- Example: A chatbot that only answers simple questions like “What time is it?”
- Modern AI (Learning-Based):
- Learns from data and becomes better over time.
- Generative AI tools like ChatGPT can create new content, such as writing essays or designing images.
Where Do We See AI Today?
- Customer Support: AI chatbots answer questions quickly and are available 24/7.
- Marketing: AI recommends products you might like based on your shopping history.
- Healthcare: AI analyzes medical scans and helps doctors detect diseases faster.
- Finance: AI spots unusual activity in bank accounts to prevent fraud.
Key Words and Meanings
- Artificial Intelligence (AI):
- A type of technology that allows machines to perform tasks that require human intelligence, like learning and decision-making.
- Machine Learning (ML):
- A process where AI learns from data to find patterns and make predictions.
- Deep Learning (DL):
- A type of machine learning that uses neural networks to solve complex problems, like recognizing faces or emotions in images.
- Generative AI:
- AI that creates new content, such as text, images, or videos. Examples include ChatGPT and DALL·E.
- Neural Networks:
- Systems that mimic the structure of the human brain, allowing AI to handle complex tasks like understanding language or identifying objects.