1. What are the main characteristics of artificial intelligence?
Key characteristics include learning from data, reasoning, problem-solving, pattern recognition, automation, and the ability to improve performance without constant human input.
2. Why is learning ability important in artificial intelligence?
Learning enables AI systems to analyse new information, adapt to changing environments, and enhance accuracy over time through experience and data processing.
3. How does problem-solving define intelligent systems?
AI technologies evaluate multiple possibilities, select optimal solutions, and execute decisions efficiently, making them valuable in complex and data-driven environments.
4. What role does automation play in AI functionality?
Automation allows machines to perform repetitive or rule-based tasks with minimal supervision, improving efficiency, productivity, and operational consistency across industries.
5. Can artificial intelligence recognise patterns like humans do?
Advanced algorithms detect trends, relationships, and anomalies in large datasets, often identifying insights faster and more accurately than manual human analysis.
6. Is adaptability a core feature of artificial intelligence?
Modern AI models adjust behaviour based on feedback, environmental changes, and updated data, allowing continuous improvement in performance and decision-making quality.