Part 1 of this article will go through a brief overview of Artificial Intelligence and the first type of AI.
Narrow or weak AI, general or strong AI and artificial superintelligence are the three types of artificial intelligence (AI).
Right now, we have only achieved narrow AI. As machine learning capabilities continue to develop, and scientists are getting closer to achieve general AI in the near future.
3 types of AI: a guide to narrow, general, and super artificial intelligence (Photo: accilium)
Artificial Narrow Intelligence (ANI) / Weak AI / Narrow AI
The only successful form of AI that has been implemented today is Artificial narrow intelligence (ANI), also known as weak AI or narrow AI. Though Narrow AI is excellent at completing specific tasks such as facial recognition, speech recognition/voice assistants, driving a car, or searching the internet, it is meant to perform singular tasks.
Intelligent as these machines appear, they only simulate simple human behaviors and function under a limited range of constraints. The fact that Narrow AI does not imitate or replicate human intelligence and work on a restricted set of parameters and contexts makes them a weak type of AI. The applications of this type can be seen at the speech and language recognition of the Siri on iPhones, vision recognition of self-driving cars, and recommendation engines that make suggestions based on purchase history.
In the last decade, Narrow AI has undergone several breakthroughs, propelled by advancements in machine learning and deep learning. AI systems are now used in medicine to diagnose cancer and other diseases with a high degree of precision by emulating human cognition and reasoning.
Natural language processing (NLP) emerges in the Narrow AI's machine intelligence which recognizes speech and text in chatbots. Hence, AI is designed to communicate with humans in a natural, personalized way.
Narrow AI consists of reactive AI which has no memory or data storage to simulate human responses to things and limited memory AI which can use historical data to make decisions with equipped learning capabilities. The vast majority of AI nowadays is limited memory that utilizes deep learning technology to personalize users’ experience.
Source: Codebots
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