Hello and a warm welcome to this article on artificial intelligence and deep learning in this article I’m going to give you a quick introduction about artificial intelligence I’m sure you must have heard about this buzzword but what exactly is artificial intelligence we’ll spend a few minutes to just give you a high-level overview about it now artificial intelligence by definition as per Wikipedia is the intelligence demonstrated by machines as compared to natural intelligence which is demonstrated by human beings so that’s a Wikipedia definition.
now artificial intelligence the word was coined by John McCarthy in a conference in Dartmouth in 1956 so artificial intelligence is not all that new as you may be thinking though now it has become like a buzzword right so it’s been there for quite some time however while it was coined in 1956 they were not able to make a lot of progress they did some research for about two to three years but they couldn’t make a lot of progress because they did not have the computational power that was required.
- in recent times with the advent of cloud computing and with the hardware becoming cheap and fast all this has got now reinvigorated so that’s why you hear a lot about artificial intelligence nowadays.
- you probably are aware of speech recognition systems like Siri or Google where you talk to the system that is nothing but AI you also heard about autonomous vehicles or driverless vehicles that is also AI so AI is already around us in some form or the other and we will talk about this in more detail how to implement AI how to problem develop AI applications in that during the course of this program now ai has been today classified into three sections.
- Artificial Narrow Intelligence:
- Artificial General Intelligence:
- Artificial super Intelligence Or Singularity:
Artificial Narrow Intelligence:
- as it is sometimes referred to now artificial narrow intelligence is a system which can perform one specific activity but it can perform much better than human beings these are like the game alpha go that’s an AI to play the game of go you must have heard about that is an artificial narrow intelligence so today most of the systems are in this category.
Artificial General Intelligence:
- the artificial general intelligence where a system can perform more than one activities and in some of them they may be better than human beings.
Artificial Super Intelligence Or Singularity:
- artificial superintelligence is like the holy grail of artificial intelligence where these systems can perform many many activities just like we human beings and they will be performing better than us in almost all those activities.
- artificial super intelligence has a long way to go this can probably cannot happen in the next 10 20 30 years so it’s a long way to go and as some of the people are a little worried about artificial superintelligence that is where there are some scary stories like AI will come and it will capture the whole world and destroy human beings and such scary stories are there but you know there is one school of thought around that as well.
What Is AI?
- now when you talk about AI you will also hear these terms like deep learning and machine learning and neural network right so let me quickly tell you what is how they are all related. now artificial intelligence is the overall concept as you can see in this diagram in order to develop an AI system you need what is known as machine learning and you will go into details of this in the subsequent articles and subsequent courses. but it suffices to say for now that machine learning is where you teach a system without really explicitly writing a program.
What Is Deep Learning?
- the subset of machine learning is deep learning when you’re dealing with structured data we call that machine learning and when we deal with unstructured data like article images and text that’s when it becomes deep learning that’s where we use deep learning so that’s the distinction between machine learning and deep learning.
in order to implement deep learning, you need neural network so I hope you got the relation between these terms so you have AI then M L subset of that is DL which is deep learning and to use deep learning we use neural network so that’s the connection between them and our program is structured in a similar way we have an introduction to AI then we will talk about what is the neural network and then how do we implement neural network using programs and libraries like the tensor flow and then we will go into image recognition and speech recognition which are two of the most common or most popular components of AI today so that’s how the entire program is structured so I hope you’ve got a quick overview about what artificial intelligence is and how it is related to deep learning and machine learning in this article we will go into details of each of this as we move forward thank you very much.