What is Artificial Intelligence? – A Complete Guide

By TechFunnel Contributors - Published on July 13, 2021
artificial intelligence guide

All the modernization around us is the result of intelligence. If humans continue to use their intelligence with artificial intelligence, we can soon flourish into a better society – of course if we use the technology beneficially.

Artificial Intelligence: All You Need to Know

This article will cover the different topics related to artificial intelligence:

What Is Artificial Intelligence?

From an autopilot-based car to Alexa, artificial intelligence has made its way into our lives.

Any intelligence denoted by a machine is a product of artificial intelligence. When humans transform their ideas and intelligence into machine-like forms, it is called artificial intelligence. Some examples of AI include speech recognition, machine vision, and expert systems.

If you ask a common man what artificial intelligence is, (s)he would say that it is anything that can think and act on his own. While an AI researcher would describe AI as a set of algorithms that can produce results with any guidance. However, both would be correct.

To understand it better, let’s have a look at artificial intelligence definition:

  1. An entity that is capable of thinking like a human.
  2. An intelligence machine created by humans.

How Does Artificial Intelligence Work?

An AI system construction is a careful process. It involves the transfer of human-like abilities in a machine making it capable of doing what a human does.

One common question that a person could think of while looking at AI machines is how does artificial intelligence work? Well, to understand this let’s talk about the various sub-domains of AI and how these apply to the different fields of the industry.

The various sub-domains of AI are:

  • Machine Learning

    Machine learning helps a machine to make decisions based on any previous experiences. ML identifies patterns or any past data to conclude without any human support. This system of reaching conclusions automatically helps businesses in a better decision-making process.

  • Deep Learning

    An ML technique, deep learning teaches a machine how to process inputs to predict better outputs.

  • Neural Networks

    Neural networks are a series of algorithms that simulate the functioning of a human brain. They capture underlying variables and processes just like a human brain.

  • Cognitive Computing

    Cognitive computing is a series of algorithms that works by mimicking a human brain in terms of objects, speech, messages, or images. It tries to perform it exactly like a human to give the best, desired output.

  • Computer Vision

    Computer vision is a series of algorithms that breaks down an image to study and understand different parts of an object. This way the machine classifies different sets of information through images and produces a better-desired output.

  • Natural Language Processing

    NLP helps a machine in understanding, reading, and analyzing language. This helps in better communication hence producing better responses and outputs.

How Is Artificial Intelligence Used?

AI is used in different areas of life mentioned below:

  • Web Searches

    Web search engines gain from the huge contribution of information, given by their clients to give applicable and accurate results.

  • Car

    There are many autopilot cars. Vehicles as of now use AI-controlled safety capacities. For example Tesla’s autopilot cars.

  • Cybersecurity

    Computer-based intelligence frameworks can help perceive and battle cyberattacks and other digital dangers dependent on the constant contribution of information, perceiving designs, and preventing the assaults.

Why Is AI Important?

Artificial intelligence innovation is significant because it empowers human capacities in terms of understanding, evaluating, thinking, arranging, and communicating. The purpose of this is to be attempted by programming progressively, productively. and for a minimal price.

What Are the Different Types Of AI?


Weak Artificial Intelligence Strong Artificial Intelligence
Narrow application Wider application
Limited scope Unlimited scope
Good at a particular task Can perform human-like task
Siri is an example Advanced robots is an example

There are three types of AI:

  • Artificial Narrow Intelligence (ANI)

    ANI is the most common type of artificial intelligence today. These help in solving one single problem along with executing a single task incredibly. As the name suggests, they have narrow capabilities. For instance, predicting the weather, or predicting future dates.

    They have been successful in coming close to humans in some parts that are controlled and limited.

  • Artificial General Intelligence (AGI)

    AGI is still a hypothetical idea. It’s characterized as AI which has a human-level of psychological capacity, across a variety of areas, for example, language preparing, picture handling, computational working, etc.

    However, humans are still far away from building an AGI.

  • Artificial Super Intelligence (ASI)

    ASI is a logical progression from AGI. It is a science-fiction era. ASI is said to surpass all human-like capabilities. These capabilities would include taking accurate decisions and building emotional relationships.

Application Of AI

Here are some of the applications of AI:

  1. AI autopilot cars
  2. Voice to text features
  3. Smart personal assistant for example Alexa
  4. Facial recognition
  5. Speech translation

What Are the Challenges Of AI?

Here are 04 common challenges of AI:

  • Limited Knowledge

    Even though there are numerous spots in the market where we can utilize Artificial Intelligence as a superior option in contrast to the customary frameworks. Yet there are some issues related to the information on AI. Only a few capable researchers and scientists know about AI.

  • Data Security

    The fundamental factor on which all the profound AI models depend is the accessibility of information and assets that are needed to prepare them. However, the information is there but the reliability of the information is not yet known. It could have been derived for terrible purposes.

  • Price Factor

    AI technologies are costly. A lot of companies that want to opt for AI face difficulties in adapting AI technology because of the costly affair. Organizations like Google, Apple have a separate budget for AI technologies.

  • Computation Speed

    The level of power AI algorithms use is what keeps developers away. The high degree algorithms are offered only by high-end processors. These algorithms require large infrastructures that are very expensive and has become an impediment in their overall reception of the AI innovation.

What Are the Disadvantages Of AI?

  1. Implementation cost is expensive.
  2. It leads to unemployment because robots will replace humans in the workplace.
  3. Software development in AI is slow and expensive.
  4. Since it is a machine-based intelligence, it lacks creativity.
  5. It does not improve with an experience like humans.

What Are the 04 Types Of AI?

The four types of AI are:

  • Reactive Machines

    This type of AI is used to perform basic operations. Reactive machines react to input and produce output. However, this type of AI includes no learning. For example, face recognition. Reactive machines take human face images as input and identification is an output.

  • Limited Memory

    Limited memory uses any previously stored data and predicts to make better decisions. However, within limited memory, the architecture of this machine becomes more difficult and confusing. For example, self-driving cars. The car observes over time and then is able to successfully control the car’s speed.

  • Theory Of Mind

    We still have not reached the theory of the mind algorithm yet. These machines will be more advanced than a human’s capabilities. They would be structured by incorporating a human’s ability to feel and think rationally unlike today’s world’s robotics.

  • Self-Awareness

    The most crucial and final step of AI construction is constructing a program that would be self-aware. This is also known as an extension of the theory of mind. However, for now, this kind of AI is only to be seen in fictional movies and novels.

What Are the Examples of AI Technology and How Is It Used Today?

AI has made its way into our daily lives. Let’s now go through some examples of AI in the world today:

  • Social Networking

    Different social platforms that help us connect all over the world are the result of AI technologies. For example, Instagram, YouTube, Facebook, and Snapchat.

  • Online Shopping

    Have you ever wondered why products you talk about in private chats appear on your recommendation list?

    Online shopping is one of the most common forms of AI technology. For example, Google searches showing relevant products or a list of recommendations of products you are interested in.

  • Virtual Personal Assistant

    There are a number of examples of virtual personal assistants around that make our daily life easier for us. For example, Siri, Alexa, Google Now, and Amazon echo.

Ethical Uses Of AI

  • Unemployment

    One very common question that arises after the introduction of AI in the business world is “what will happen after robots replace humans in the workplace? All we can hope for is that AI helps individuals find better at-home opportunities for themselves, like really focusing on their families, drawing in with their networks, and learning better approaches to add to human culture.

    27% of US residents believe that AI will make them unemployed in the coming five years.

  • Self-Driving Cars

    There are many autopilot cars being introduced now. But is it ethically permissible for these cars to be left on the roads? Although these have eased the effort of human driving, they could still be a cause of destruction.

    In 2018, a self-driving Uber got out of control and hit a pedestrian who later died in the hospital.

Future Of AI

Indeed, whenever utilized right, or on the other hand whenever utilized by the individuals who take a stab at social advancement, AI can turn into a path for positive change. Here are some examples:

  1. 3-D printing of clothes and house modules.
  2. Growing of food using vertical agriculture.
  3. Search engines understanding inquiries rather than keywords

IDC predicted that by 2021, more than 70% of commercial firms will use AI.

Final Thoughts

AI has made its way into our life. From Siri to autopilot cars, AI advancements can be seen everywhere. Also, there are a few limitations to AI such as its costly affair and limited knowledge. AI has also been said to violate a few ethical norms in terms of unemployment and risk (self-driving accidents).

However, the future of AI looks optimistic. It can bring a huge revolution if used by the correct minds and hands.

TechFunnel Contributors | TechFunnel.com is an ambitious publication dedicated to the evolving landscape of marketing and technology in business and in life. We are dedicated to sharing unbiased information, research, and expert commentary that helps executives and professionals stay on top of the rapidly evolving marketplace, leverage technology for productivity, and add value to their knowledge base.

TechFunnel Contributors | TechFunnel.com is an ambitious publication dedicated to the evolving landscape of marketing and technology in business and in life. We are dedicate...

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