Expert systems, computer vision, natural language processing, and neural networks are key components of Artificial Intelligence. These technologies are used in various fields, including healthcare, automation, and data analysis. Expert systems replicate human knowledge for specific tasks, computer vision allows machines to "see" and analyse visual data, NLP enables computers to understand human language, and neural networks help in making predictions and decisions based on data.

Mention any two areas where AI technologies like expert systems and computer vision can be applied and explain their significance in those fields.

Two areas where AI technologies such as expert systems and computer vision can be applied and their significance are:

1. Healthcare

• Expert systems: They use stored medical knowledge and rules to help doctors analyse symptoms, suggest possible diseases and support treatment decisions.
• Computer vision: Using medical images (like X-rays/CT/MRI), it helps in detecting abnormalities and supports early and accurate diagnosis which improves patient care.

2. Security and Surveillance (e.g., museums/public places/industry)

• Expert systems: They can apply rule-based logic to raise alerts and support quick decisions (e.g., suspicious activity, restricted-area access), reducing human error.
• Computer vision: With camera-based surveillance, it can monitor areas continuously, identify objects/people and help prevent incidents like theft of valuable items. This improves safety and protection while saving time and manpower.