Robotics & Artificial Intelligence
Artificial intelligence is categorised into two parts based on the capability of performing tasks: Narrow AI and Broad AI. Narrow AI is designed to perform a single task or a collection of related tasks, while Broad AI refers to systems that mimic human-like cognitive abilities, allowing them to perform a variety of intellectual tasks.
How do Narrow AI and Broad AI differ in terms of their capabilities and applications?
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Answer
Narrow AI (also known as Weak AI) is designed to perform a specific task or a set of closely related tasks. It works within a limited scope and cannot perform tasks beyond what it is programmed for. Examples include speech recognition systems, recommendation systems, and image recognition systems. Narrow AI is widely used in real-world applications to solve specific problems efficiently.
Broad AI (also known as Strong AI) refers to AI systems that aim to mimic human intelligence and cognitive abilities. Such systems can understand, learn, reason, and apply knowledge across different tasks, similar to humans. Broad AI is not limited to a single task and can handle multiple intellectual tasks. Broad AI is still largely theoretical and under research, with limited real-world implementation.
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