How Artificial Intelligence Works?

Artificial Intelligence (AI) is a broad field of computer science that deals with the development of smart machines, which are capable of performing activities that typically require human intelligence. AI is not only an interdisciplinary machine with numerous methods but also advanced machine learning and deep learning methods that have brought about a change in society in almost every field of the technology industry.

How Artificial Intelligence Works


 A decade ago, after Enigma and the Allied Forces cut off the Nazi encryption machine and won the Second World War, mathematician Alan Turing has changed the course of history for another moment by asking himself: “Do computers think?”

The main objective and dream of artificial intelligence have been defined in Turing’s paper “Computer Machinery and Intelligence” (1950), which follows the Turing Test.

At the heart of the matter, Artificial Intelligence is the advanced computer, which is aimed at answering affirmatively to the turing question. It tries to reproduce or simulate the intellect of humans on computers.

There are many questions and debates about the expanded goal of artificial intelligence. Therefore, there is no universally accepted standard definition of the term. 

The main limitation in describing AI as “intelligent building machines” is that it does not explain what artificial intelligence is all about? And how intelligent is a machine?

Four different approaches by which Norvig and Russell explore Artificial Intelligence are, 


The first two approaches are related to thinking and reasoning, while the other two are referred to as behavior. Norvig and Russell concentrate in particular on rational agents, which can achieve the best result, arguing that all of the abilities that are needed for the Turing Test always require an agent to act rationally.

Although the average person can find these concepts vague, they help to focus the sector as a field of computer science and provide a framework for software and system instructions and other artificial comprehension subsets.

” Artificial intelligence is a computer system that can typically do tasks that include human intelligence. Computer training drives many of these systems. Some are guided by profound knowledge, and some are controlled by very boring things like laws.”

How Is Artificial Intelligence Used


Artificial intelligence is broadly categorized into two concepts:

  • Narrow Artificial Intelligence


This artificial intelligence is often called ‘ Slow AI. ‘ It operates in a peculiar sense and is a replica of the human mind. Narrow AI is based on the success of a single task that performs exceptionally well. However, these computers may appear intelligent and work in a far more excellent way when compared to the most essential human intellect.

  • Artificial General Intelligence


AGI is a kind of artificial intelligence that we see in films, such as the Westworld robots or Star Trek’s Dato: the Next Generation. AGI’s an intelligent computer and can be used to solve any problem, much like a human being.

Examples of artificial intelligence

  • Digital assistants (such as Siri and Alexa)

  • Techniques for tracking and predicting diseases

  • Construction of robots and drones

  • Optimized advice on customized healthcare services

  • Marketing and customer service conversational bots

  • Robo consultants for stock trading

  • E-mail spam detects

  • Hazardous content or false news troubleshooting tools in social media

  • Spotify and Netflix reviews for songs or TV shows

More About Artificial Intelligence 

  • Machine Learning and Deep Learning


All most all Narrow Artificial Intelligence motivates advancements in machine learning and deep learning. Knowing the difference between artificial intelligence, machine learning, and deep learning can be frustrating. Venture capitalist Frank Chen provides an excellent description of how to differentiate between them, noting that:

Machine learning consumes a computer’s knowledge and uses mathematical methods to help it “learn” how to gradually improve a function without being directly programmed to eliminate the need for millions of lines of compiled code. Machine learning involves both controlled education (with labeled data sets) and independent learning (with unlabeled data sets).

Deep learning is a form of computer learning that uses a structure of the neural network influenced by biological factors. The neural networks hold a lot of hidden layers that process data to help the computer to “deep” its information, interact, and evaluate the feedback to the best outcome.

  • Artificial General Intelligence


For many experts from AI, the Holy Grail develops a computer of human intelligence that can be applied to any mission, but the quest to AGI has been challenging. 

There’s nothing new in the search for a’ universal learning and action algorithm’ (Russel and Norvig 27). Still, the time has not made it easier for a computer to be created with a full set of cognitive abilities in general.

AGI is the inspiration of dystopian science fiction, which overruns civilization with super-intelligent robots. Still, experts agree that it is not something we need to think about soon.

  • Narrow Artificial Intelligence


We interact with narrow AI every time, and it is the most straightforward artificial intelligence successfully achieved. Because of its emphasis on specific purposes. Narrow AI has experienced numerous advancements in the past ten years, according to “Preparing for the future of the artificial information,” a 2016 report published by the Obama Administration that has brought “significant benefits to society and made a significant contribution to the national economic resilience.”

Few examples of Narrow Artificial intelligence

  • Google search

  • Image recognition software

  • Siri, Alexa, and other personal assistants

  • Self-automobile cars

  • IBM’s Watson

The ancient Greek stories of antiquity first showed intelligent robots and human intelligence. During Aristotle’s quest for one’s intellect, the development of the syllogism and the application of deductive reasoning were a crucial moment. The history of artificial intelligence as we see it today is less than a century-long, although its roots are deep and long.

Artificial intelligence is a set of knowledge and algorithms that try to stimulate people’s data. To know more about Artificial Intelligence and avail the Artificial Intelligence Services get in touch with a well-experienced team that consists of Artificial intelligence experts of Deuglo Infosystems, one of the best artificial intelligence companies in Bangalore.