Narrow-Focus Artificial Intelligence (AI) System
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A Narrow-Focus Artificial Intelligence (AI) System is an intelligent machine that can solve a domain-specific intelligence task.
- AKA: Task-Specific AI, Problem-Specific AI.
- Context:
- It can (typically) be associated with a Narrow AI Emergence Period.
- It can be the focus of a Narrow AI Community.
- It can be associated with a Narrow AI Time Period, such as narrow AI expansion period.
- ...
- Example(s):
- an AlphaFold 2, of ~2020-10
- an AlphaGo Go-player, of ~2017-05-23.
- a Watson System, of ~2011-02-15.
- a Netflix Prize Recommender System, such as BellKor's Pragmatic Chaos in 2009.
- an RCR2000 system, deployed by USPS in 1999.
- a DeepBlue Chess-player, of ~1997
- ...
- Counter-Example(s):
- See: Expert System, AI Capability, International AI Race.
References
2013
- http://en.wikipedia.org/wiki/Weak_ai
- An artificial intelligence system which is not intended to match or exceed the capabilities of human beings, as opposed to strong AI, which is. Also known as applied AI or narrow AI. (See strong AI)
2011
- http://versita.com/jagi/
- … the mainstream of AI research has turned toward domain-dependent and problem-specific solutions; therefore it has become necessary to use a new name to indicate research that still pursues the "Grand AI Dream". Similar labels for this kind of research include “Strong AI", “Human-level AI", etc.
The problems involved in creating general-purpose intelligent systems are very different from those involved in creating special-purpose systems.
- … the mainstream of AI research has turned toward domain-dependent and problem-specific solutions; therefore it has become necessary to use a new name to indicate research that still pursues the "Grand AI Dream". Similar labels for this kind of research include “Strong AI", “Human-level AI", etc.