Artificial intelligence (AI) is one of the branches of computing technology, that works in order to create intelligent machines that work and react like humans.

Using these technologies, computers can be trained to accomplish specific tasks by processing a large amount of data mining and recognizing patterns in big data.

Artificial intelligence (AI) systems are powered by various types of technologies such as machine learning, automation, natural language processing (NLP), machine vision and robotics.

What is Machine learning (ML)?

Machine learning is a subject of research which works on the basis of a set algorithm providing knowledge to computing technologies through data analysis. It helps the machine to take a determination or prediction about something in the world.

In the past decade, machine learning has given us self-driving cars, effective web search, Google maps, ride-sharing apps like Uber, commercial flights use an AI autopilot and a vastly improved understanding of the human genome.

What is Automation?

Automation is a creation of technology in order to control the production and delivery of various products or services without any human assistance.

Nowadays almost every industry automate their tasks in order to deliver maximum production within a limited time frame such as,

  • Manufacturing: Pharmaceutical, Petro-chemical, Food and Beverages.
  • Transportation: Automotive, Aerospace and Railways.
  • Utilities: Water, Oil and Gas, Electricity and Telecommunications.
  • Defense: Safety and Security.
  • Facility: Environmental control and Energy management.

What is Natural language processing (NLP)?

Natural language processing is the ability of a computer program to understand and derive meaning from human language in a smart and useful way.

NLP can be used to interpret free text and make it analyzable. Current approaches to NLP are based on deep learning, Google and other search engines base their machine translation technology on NLP deep learning models.

NLP makes it possible for computers to read a text, hear a speech, interpret it, measure sentiment and determine which parts are important.

What is Machine vision system (MVS)?

Machine vision helps to solve complex industrial tasks reliably and consistently by using digital input and output to manipulate mechanical components.

It enables a computing device to inspect, evaluate and identify still or moving images. A machine vision system typically consists of digital cameras and back-end image processing hardware and software.

Some of the common examples of machine vision system are, packaging inspection, checking medical devices for defects, robot guidance, checking laser marks and cuts, food pack checks and reading bar-codes.

Robotics is the branch of artificial intelligence technology that deals with the design, construction, operation, and application of robots.

Robots are not just machines, they are many steps ahead of a typical machine, it is a system that contains sensors, control systems, manipulators, power supplies and software all working together to perform a designated task.

Robotic process automation (RPA) is the use of software with artificial intelligence (AI) and machine learning capabilities to handle high-volume, repeatable tasks without any human assistance.

“What to do about mass unemployment? This is going to be a massive social challenge.  There will be fewer and fewer jobs that a robot cannot do better [than a human].  These are not things that I wish will happen.  These are simply things that I think probably will happen.”

~Elon Musk

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