What is Artificial intelligence? Definition, Types, and Real-life examples.

You might have heard the term artificial intelligence quite frequently, so What is Artificial intelligence. These days every company has an artificial intelligence solution. Every company advertises that they have some artificial intelligence in their products. You might also hear of different things like autonomous driving robots. You have seen artificial intelligence robots in movies. So let’s look at it.

Firstly, What is intelligence.

let us look at intelligence can be simply defined as the ability to perceive or infer information to retain it as knowledge and then apply it towards behavior in an environment. So we humans have natural intelligence which enables us to remember descriptions of things. Also, use these descriptions in future behaviors. It is a cognitive or mental process enabled by the human brain.

It gives us humans the ability to learn from concepts to understand. It is the reason we can also recognize patterns. We can innovate we can plan we can solve problems. Moreover, we can also employ language to communicate our ideas so intelligence enables humans to experience and think. Similarly, plants and animals also have some form of intelligence. Now in contrast let’s look at artificial intelligence.

What is Artificial intelligence?

Artificial intelligence can be simply defined as the intelligence demonstrated by machines. It is used to describe machines or computers that mimic cognitive functions or human-like behavior. This we associate with the human mind such as learning and problem-solving. In this way, the field of AI research was born at a workshop at Dartmouth College in the year in the year 1956. The term artificial intelligence was coined by John McCarthy to describe intelligent machines. lets’ look at what are the challenges present for the AI system.

AI system should be able to

  • reason
  • have problem-solving skills
  • plan and schedule events.

It should be able to represent knowledge in a certain format. It should be able to move in motion if you consider her robot it needs to move in its environment. It should be able to process speech. Basically, it should be able to visually see the environment with a computer vision and it should be able to recognize speech.

It must have natural language processing to understand the intent of the actions in the environment. It should have some kind of a learning mechanism present. So that where machine learning, deep learning, and another kind of learning algorithms come in. Then it should also have the social intelligence to interact along with the actions in an environment. It should have general intelligence to perform generic tasks.

Tools used in AI and a history of AI

AI system now if you look at the problem areas, says problems of reasoning or say problem-solving. You can consider this to be something like an optimization problem or you are searching in a search space. For an optimal solution, you can also think of this as evolutionary algorithms. So in this particular space, you have algorithms like

  • beam search
  • Training a simulation
  • Analyzing you.
  • general tick algorithms.
  • colony optimization
  • swarm optimization

So these search algorithms can also be applied in the space of robotics. For example, if a robot has to find a particular path. So it is a kind of space search, to find an optimal path to reach from source to the destination. Now if you look at knowledge representation again problem-solving comes into the picture. You can also have a propositional logic-based system. You have fuzzy logic, you can have an expert system for these areas. Now in the space of artificial intelligence, there are a lot of areas where you have to deal with uncertainty.

This is where you have Bayesian networks you have hidden Markov models. So these are probability-based algorithms that can deal with uncertainty in data. Then for learning algorithms, you have this huge field of statistical and machine learning algorithms. So statistical algorithms can be used for perception. For example in computer vision to make sense of what are all the objects present in a scene. For speech recognition, it can be used by a robot to identify its environment.

It can be used in natural language processing to perform operation like

  • Information extraction
  • Clustering

Now if you look at the statistical and machine learning algorithms. You have various traditional algorithm

  • linear regression
  • logistic regression
  • ICBMs decision trees random forests.

What is an Artificial neural network?

You also have the newer fields of deep learning and artificial neural network. An artificial neural network is a very simplistic representation of the neurons present in the human brain. So when you have multiple layers of an artificial neural network you have a deep neural network from which the field of deep learning emerged. Let’s look at the types of AI systems.

Types of AI systems.

Narrow AI system:

Here AI system has better results or has beaten humans on a narrow task like say playing chess face recognition etc. So these systems are highly trained on specific data and are not capable of performing any other tasks. Then they also have very high levels of performance.

artificial general intelligence or EGA

here the strong AI or AJ allows or AJ machine to apply knowledge and skills in different contexts. For example, if there was an autonomous driving system that was trained on American roads it is able to adapt itself to Indian roads.

artificial superintelligence

Here the air has developed to say consciousness and it also exceeds human intelligence level and operates at genius intelligence levels.

Real-life working examples of AI

Let’s us at some current-day applications so

  • Google Translate is an application it translates from one language to another language.
  • program alphago from a deep mind which beat a champion at the go game then you
  • face recognition in mobile phones.

There are a lot of successful AI applications. Nowadays it has become a trend to say every application has AI if it does some data analysis and gives out results. It is really far from the true capability of AI we are just having narrow AI systems.

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Conclusion:

At the moment I hope you have understood what is meant by an artificial intelligence system. what is artificial intelligence and if you like such content please bookmark our website. Do share and comment if you have any questions in the comment box below.

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