AI is a constellation of technologies that manifests in different forms. It gets categorised in different ways based on their rationale and the implications as follows:
Weak AI and Strong AI
Weak AI describes “simulated” thinking. That is, a system which appears to behave intelligently, but doesn’t have any kind of consciousness about what it’s doing. For instance, a chatbot might appear to hold a natural conversation, but it has no sense of who it is or why it is talking to you.
Narrow AI and General AI
Narrow AI describes an AI that is limited to a single task or a set number of tasks. For example, the capabilities of IBM’s Deep Blue, the chess playing computer that beat world champion Gary Kasparov in 1997, were limited to playing chess.
Framework of Artificial Intelligence
A general framework of an AI system contains three segments: Sensors that generate data, Processor that process the data generated by sensor and physical and software agent that takes decision based on this data.
Fig: A General Framework of AI System
Building Blocks of Artificial Intelligence
Based on the framework cited above, AI technology is classified into different building blocks. These building blocks form a core area of interest and a sub-field in the study of AI. Following are the major building blocks of AI:
Conclusion
These sub-fields are going to impact and disrupt different walks of life or say sectors of economy and due to its vast impact; sometimes AI is compared to the discovery of fire also.