What is Artificial Intelligence | Types of Learning that Artificial Intelligence(AI) Use - Easily Explained

 Artificial Intelligence Has The Answer To Everything

What is Artificial Intelligence? and How Artificially Intelligent Systems learn thing? Surely, your wondering about this! Today's article is to understand AI in simple words and learn how AI learns from us!

Artificial Intelligence is a field of Computer Science, which emphasizes study of how to create of intelligence in machines. It aims to design machines which can act like humans.

What is Artificial Intelligence | Types of Learning that Artificial Intelligence(AI) Use - Definitions with Examples- Easily Explained

Remember that, The main concept of Artificial Intelligence is to create intelligence in machine. AI has gained huge momentum in past years. Current AI based systems have left Humans far in calculating and filtering large amount of data in moments.

The term “artificial intelligence” was first coined back in 1956.

Dartmouth professor John McCarthy. He called together a group of computer scientists and mathematicians to see if machines could learn like a young child does, using trial and error to develop formal reasoning.

The project proposal says they’ll figure out how to make machines “use language, form abstractions and concepts, solve kinds of problems now reserved for humans, and improve themselves.”

This was the time back to more than 60 years ago.Since then, AI has remained for the most part in university classrooms and super secret labs. This is not the case any more. During the past few years, Some Major activities have led to AI becoming the next “big” buzz. First of all, Today huge amounts of data are being created every minute this makes a lot of Data Analysis oppertunities more than a man can handle all by himself. This is where computers and AI comes to take place.

Fact is Today, 90% of the world’s data was generated in just past two years. But we don't have to worry about that, thanks to advances in processing speeds,Advanced Algorithms and research in Computer Science. That Computers of Today can actually Use and filter out this information more quickly.

This why you see tech giants and venture capitalists going crazy after AI based start ups and innovations which approach solutions while using Artificial Intelligence.

Examples of Artificial Intelligence Uses and Advantages:

Surely, AI is will rise beyond Human capabilities in Statistics, Data Analysis, Mathematics and Research as these systems won't take a break or get tired.
Some key achievements in Artificial Intelligence-AI that we can observe in our daily lives too are:

1. Speech Recognition Systems:

   Smart Phones contain a virtual assistant. You normally use them each day like Siri, Alexa or Google assistant. These are based on very smart AI algorithms which act according to situation.

2.  Artificial Intelligence

    Has The Answer To Everything. Yes! Future is here. These are many self driving cars developed in our time. It isn't far when we will watch YouTube Videos, while our car drives itself to our office.

3.  Smart Translator:

   Today AI based applications can translate and transcribe Languages better then Professional Translators. They can learn each time and use words better to make understandable to each persons IQ level.

4. Google Maps and AI Algorithms:

   Google Maps are used by all of us to save our time while traveling. Google Maps track fastest routes and get things done in nearly no time, they are smart enough to know which road will take longer, which road is blocked etc. This application is also based upon advanced algorithms of artificial intelligence.

Field of Artificial Intelligence aims to research and develop in reasoning, Knowledge, Presentation, planning, Natural Language Processing,and perception etc.

Below I have also attached a video to support visual understanding of Artificial Intelligence From Hubspot.

Three Types of Learning that Artificial Intelligence(AI) Use:

A quick tip on how AI learns. there are three general categories in which AI learns. 

There Categories in which artificial intelligence systems learn are:

1. Supervised Learning
2. Reinforcement Learning
3. Unsupervised Learning

Supervised Learning in AI:

In this type of Learning, AI itself has a teacher or mentor who guides it by providing raw data and sample inputs along with guidelines for desired outputs. Supervised Learning in AI is very similar to how we learn as we are children. When we explain a 10 year old in simple and guided manner, Supervised learning for AI based is systems is also same.

Reinforced Learning in AI:

“a computer program interacts with a dynamic environment in which it must perform a certain goal (such as driving a vehicle), without a teacher explicitly telling it whether it has come close to its goal. "
Reinforced learning for AI is quite similar to how we teach animals to do stuff we want. Basically, each time the machine performs according to ideal or desired outcomes we reward it. This reward can be in form of better research time, more abilities, lesser restrictions etc.

Unsupervised  Learning in AI:

Basis of AI learning is on unsupervised learning. We all want Smart system who understand what to do on their one rather then giving them time to get taught.

Unsupervised Learning of Artificially Intelligent Machine is when it is not provided with enough raw data and samples and from an early stage.Machine has to develop sense and restrictions on data output based upon environment and reactions. It filters out raw inputs from users and make mistakes initially and tries to learn patterns and correct outputs to catch up the goals.

To understand more about Types of Learning in AI you can watch this well explained video below: