1. Defining AI

Artificial Intelligence, or AI, refers to the capability of a machine to imitate intelligent human behavior. It's essentially the creation of algorithms that allows a computer to perform tasks that typically require human intelligence. AI makes machines smarter and more intuitive, enabling them to replicate human-like activities such as learning, problem-solving, and decision-making.

2. Sub-fields of AI

AI encompasses several sub-fields, including Machine Learning, where algorithms enable computers to learn from data and improve over time. Natural Language Processing which empowers machines to understand and interpret human language, and Robotics, involving the design, construction, and use of robots to perform tasks done traditionally by human beings.

3. Why AI is Popular Now

AI has gained immense popularity due to a surge in data generation, enhanced computational power, and advancements in learning algorithms. Additionally, substantial investments in AI research and applications have propelled its rapid growth and integration into various domains, bringing innovative solutions and automations to complex problems.

4. Where Robots Work A Lot

Robots are particularly prevalent in sectors like Manufacturing, where they carry out precise and repetitive tasks; Healthcare, assisting in surgeries and patient care; and Retail, managing inventory, and facilitating customer service. These domains leverage robotic capabilities to enhance efficiency and productivity.

5. Challenges for Autonomous Surveillance Robots

Autonomous surveillance robots face challenges such as Energy Management, ensuring they maintain sufficient power levels during operations; Obstacle Navigation, which involves detecting and avoiding obstacles while moving; and Data Security, securing the data they capture and communicate against unauthorized access and threats.