Artificial Intelligence


Artificial intelligence (AI) is an area of computer science that gives importance to the creation of intelligent machines that work and reacts like humans. AI is the simulation of human intelligence processes by machines, using computer systems. These processes include the acquisition of information and rules for using the information, reasoning and self-correction. Some of the applications of AI include expert systems, speech recognition and machine vision.

Artificial Intelligence is one among the emerging technologies which tries to simulate human reasoning in AI systems. AI is wide-ranging branch of computer science concerned with building smart machines capable of performing tasks the typically require human intelligence. AI is an inter-disciplinary science with multiple approaches, but advancements in machine learning and deep learning are creating a paradigm shift in virtually every sector of the tech industry.


AI can be categorized in two types, weak or strong. Weak AI is also known as narrow AI. Narrow AI is an AI system that is designed and trained for a particular task, for example, Virtual personal assistants, such as Apple’s Siri. Strong AI, also known as artificial general intelligence. Strong AI is an AI system with generalized human thinking abilities. A strong AI system is able to find a solution without human interaction. The hardware, software and staffing costs for AI can be expensive.

Popular AI cloud offerings include Amazon AI services, Google AI services, Microsoft Cognitive Services, IBM Watson Assistant etc.

While an AI tool launches new business operations, the use of artificial intelligence increases moral questions. It’s because deep learning algorithms of AI system, which corrupts many of the most advanced AI tools are only as smart as the data they are given in training. Artificial Intelligence will help people to understand that AI will simply improve products and services, not replace the humans that use them.

Types of artificial intelligence

Reactive machines:

“Deep Blue” is an example. Deep Blue makes IBM chess program that beat Garry Kasparov in the year 1997. Deep Blue can identify chessboard coins and make predictions, but it has no memory and cannot record the data’s. It analyzes possible moves like its own and its opponent and chooses the most strategic move. Instead of Deep Blue, Google’s AlphaGO both are designed for narrow purposes AI systems and cannot easily be applied to another situation.

Limited memory:

These can use in past experiences to inform future decisions. For example, self-driving cars. The observations from here are not stored permanently.

Theory of mind:

It allows others have their own beliefs, desires and intentions that impact the decisions they make. This kind of AI does not yet exist.


AI systems have consciousness. Machines with self-awareness understand their current state and can use the information to imagine what others are feeling. This type of AI does not yet exist. But, may come in future.

Applications of AI:

Machine Learning (ML):

The steps to reach that target are learned by the machine itself by training.

Natural Language Processing (NLP):

It’s defined as the automatic manipulation of natural language, like speech and text, by software. For example, email spam detection.


Its uses as 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. This can enable it to see through walls.


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. For example, car assembly lines, in hospitals, office cleaner, serving foods, and preparing foods in hotels, patrolling farm areas and even as police officers. Machine learning has been used to achieve certain good results in building robots that interact socially. For example, “Sophia” Robot.

Autonomous Vehicles:

This area of AI needs a lot of attention. The list of vehicles includes cars, buses, trucks, trains, ships, submarines, and autopilot flying drones etc.