Very broadly, AI can be divided into two: narrow AI and general AI.
1. Narrow AI systems handle singular or limited tasks. Also referred to as weak AI sometimes, such systems have applications in email spam filtering, recommendation systems, and autonomous vehicles.
2. On the other hand, general AI or strong AI, refers to a machine’s capability to think and function as a human. It denotes the ability to distinctly recognise other intelligent entities’ needs, emotions, and thoughts.
Machine learning relies on defining behavioural rules by examining a set of data to find patterns. Since the main objective of ML is to enable machines to learn by themselves, given a set of data, it is merely a technique for realising AI.
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