What is Artificial Narrow Intelligence?
Artificial Narrow Intelligence (ANI) refers to a type of artificial intelligence focused on performing a single task. Unlike Artificial General Intelligence (AGI), which has the capability to learn and perform any task that a human can do, ANI is specialized and limited to a specific range of activities. However, within this narrow scope, ANI often surpasses human performance. For instance, there are numerous ANI systems today that can outmatch humans in games like chess or Go.
ANI systems are typically built using a combination of rule-based approaches, machine learning, and deep learning techniques. As these systems advance, they are increasingly being deployed across a variety of applications, from self-driving cars to medical diagnostics. In the coming years, ANI is expected to become even more integral to many aspects of daily life.
Artificial intelligence, in general, involves programming computers to make decisions autonomously. This is primarily achieved through the use of algorithms, which are sets of rules a machine follows to accomplish specific tasks. For example, an algorithm might be employed to sort numbers from smallest to largest. AI can also model human thought processes and behavior, using these models to predict how people might respond in particular situations.
Narrow AI, also known as weak AI or applied AI, is specifically designed to excel in one area or task. Unlike general AI, which aims to manage multiple tasks, narrow AI is the most prevalent form of AI today. It powers applications like voice recognition, facial recognition, and language translation, among others.