What is artificial narrow intelligence?

Artificial Narrow Intelligence (ANI) is a type of artificial intelligence that focuses on a single task. Unlike artifical general intellegence (AGI), which has the ability to learn and perform any task that a human can, ANI is limited to a specific range of tasks. However, within that range, ANI can often outperform humans. For example, there are now many ANI systems that can beat humans at chess or Go. ANI systems are typically designed using a combination of rule-based systems, machine learning, and deep learning. As ANI systems become more advanced, they are increasingly being used in a wide range of applications, from self-driving cars to medical diagnosis. In the future, it is likely that ANI will play an increasingly important role in our lives.
AI is a process of programming a computer to make decisions for itself. This can be done in a number of ways, but the most common is through the use of algorithms. These are sets of rules that can be followed by a machine in order to complete a task. For example, an algorithm might be used to sort a list of numbers from smallest to largest. AI can also be used to create models of how humans think and behave. These models are then used to make predictions about how people will react in certain situations. Narrow AI is a form of AI that is designed to perform a single task. This is in contrast to general AI, which is designed to handle multiple tasks. Narrow AI is sometimes also referred to as weak AI or applied AI. It is the most common form of AI in use today and includes applications such as voice recognition, facial recognition, and language translation.