Introduction

Narrow AI (ANI) is a term used to describe artificial intelligence systems that are specified to handle a singular or limited task. The antithesis to Narrow AI, sometimes referred to as weak AI, is called strong AI. Strong AI, unlike Narrow AI, can handle a wide range of tasks rather than one task or problem. This variation of artificial intelligence can be roughly conceptualized as a foundation for neural networks emulating sentience or consciousness.

History of artificial narrow intelligence

At that time, scientists convincingly believed that a “2 month, 10 man study of AI” would solve the biggest and unsolved parts of the AI equation, but more than six decades later even, the dream of successfully creating and achieving artificial intelligence still eludes us. But the progress we have made so far is also astonishing, and as a result of this, the field of AI has been divided into three major categories: Artificial General Intelligence(AGI), Artificial Narrow Intelligence(ANI) and Artificial Super Intelligence(ASI) so as to have a better understanding about each.

Difference between AI & ANI

Narrow AI systems are good at performing a single task, or a limited range of tasks. In many cases, they even outperform humans in their specific domains. But as soon as they are presented with a situation that falls outside their problem space, they fail. They also cannot transfer their knowledge from one field to another.

Artificial intelligence system that can learn tasks and solve problems without being explicitly instructed on every single detail. It should be able to do reasoning and abstraction, and easily transfer knowledge from one domain to another.

Importance of artificial narrow intelligence

Artificial Narrow Intelligence (ANI) also commonly known as weak AI or narrow AI. It is particularly that type of AI that we have been able to successfully realize and implement in the present date. It is a goal-oriented, narrow rangeability holding perspective that executes specific focused tasks, without the ability to the self-expand mechanism(functionality). Machines that are focused on one narrow task operate under a narrow set of constraints and limitations, that’s why they are commonly referred to as WEAK AI. Narrow AI does not replicate proper human intelligence, it basically simulates/mimics human behavior based on a narrow range of parameters.

Types of narrow AI technologies

Reactive AI: It is the basic version, having no memory or data storage capabilities. It emulates the human mind’s behavior and responds to different interpretations without any prior experience.

Limited Memory AI: It is more advanced, having great memory and data storage capabilities enabling machines to interpret precisely using statistical data. Most of the AI is the Limited Memory AI, enabling machines to use a large amount of data especially in the domains of Deep Learning to give results with utmost accuracy.

Applications of Narrow AI

Applications of Narrow AI are becoming increasingly common as machine learning is continually integrated into modern society. For example, Narrow AI may be used for spam email filtering, music recommendation services, and even autonomous vehicles. There are some concerns, however, about the widespread use of Narrow AI in important infrastructure functions. Some argue that characteristics of Narrow AI make it brittle, and in cases in which a neural network may be used to control important systems (e.g. power grid, financial trading) alternatives may be more risk averse.

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