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Artificial Intelligence

Artificial intelligence (AI), sometimes called machine intelligence is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals.


Artificial intelligence is a branch of computer science that aims to create intelligent machines. It has become an essential part of the technology industry.


Research associated with artificial intelligence is highly technical and specialized. The core problems of artificial intelligence include programming computers for certain traits such as:


Knowledge
Problem-solving
Reasoning
Learning
Perception
Planning
Ability to manipulate and move objects


There are many ways AI can be achieved some of them are as follows:


1. Machine Learning (ML):   It is a method where the goal is defined and the steps to reach that target are learned by the machine itself by training. For example to identify a simple object such as an apple or orange. The target is achieved not by explicitly specifying the details about it and coding it but it is just as we teach a child by showing multiple different pictures of it and therefore allowing the machine to define the steps to identify it like an apple or an orange.


2. Natural Language Processing (NLP):  Natural Language Processing is broadly defined as the automatic manipulation of natural language, like speech and text, by software. One of the well-known examples of this is email spam detection as we can see how it has improved in our mail system.


3. Vision:  It can be said as a field which enables the machines to see. Machine vision captures and analyses visual information using a camera, analog-to-digital conversion, and digital signal processing. It can be compared to human eyesight but it is not bound by the human limitation which can enable it to see through walls. It is usually achieved through machine learning to get the best possible results so we could say that these two fields are interlinked.


4. Robotics:  It is a field of engineering focused on the design and manufacturing of robots. Robots are often used to perform tasks that are difficult for humans to perform or perform consistently. Examples include car assembly lines, in hospitals, serving foods, office cleaner, and preparing foods in hotels, patrolling farm areas and even as police officers. Recently machine learning has been used to achieve certain good results in building robots that interact socially (Sophia).


5. Autonomous Vehicles:  This area of AI has gathered a lot of attention. The list of vehicles includes cars, buses, trains, submarines, trucks, ships, and autopilot flying drones, etc.