The Complete Guide To AI Technology

What is AI?

Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions better.

When did AI begin?

The 1950s

Who is the founder of AI?

John McCarthy

John McCarthy is one of the “founding fathers” of artificial intelligence, together with Alan Turing, Marvin Minsky, Allen Newell, and Herbert A. Simon.

Why was AI created? 

The overall research goal of artificial intelligence is to create technology that allows computers and machines to function in an intelligent manner.

 Types of AI?

 Broadly there are three types of AI i.e. 

  1. Weak or Narrow AI 
  2. Strong or General AI
  3. SUPER AI 

Why is AI important? 

Artificial Intelligence enhances the speed, precision, and effectiveness of human efforts. Artificial Intelligence (AI) is bringing drastic changes in technical fields, where it can be implemented to automate the system for more efficiency and performance while we are quite unaware of how AI is making daily life easier and simpler than before,  AI and ML require many of Data annotation for tools to get proper results as AI is now being widely used in multiple fields from mobile phones including social media to preventing threats and responding to active attacks in real-time.  Accurate system work with efficiency in many E-commerce activities  AI is Used in some major fields like Automotive (Self-driving Cars), Virtual Assistant or Chatbots, CyberSecurity Manufacturing and Production, Healthcare and Medical Imaging Analysis  Agriculture, Retail including E-Commerce, and many more.

AI is the trending tech that transforming the human lifestyle 

We all are aware of AI and its applications in our daily life nowadays but knowing this tech deeply is something else. AI is the field of study that deals with building machines that can work, think, and react like human beings. Machine Learning (ML) and Deep Learning (DL) are subsets of AI and are often used synonymously these days. 

Importance of Data Annotation & AI Combination 

Both AI and Data Annotation COMBINATION for Best Results  

Accurate Data labeling and Data annotation both are very important steps to train the models for AI projects.  As much as annotated data is used to train the machine learning model, the accuracy will be higher in various AI projects. The variety of data sets used to train the machine learning algorithm will learn different types of factors that will help the model to utilize its database to give the most suitable results in various scenarios. With a machine learning algorithm trained with labeled/ annotated data, only a few characters are needed for sites to be able to produce the desired results of the users.

Below is the List of Industries that essentially require AI 

Automobile

Manufacturing

E-Commerce

Retail

Healthcare

Financial

Agriculture

Transportation & Logistics

Cybersecurity

Medical Research & Development

Education. 

Entertainment 

Social Media 

Thanks for Reading & Stay Tuned with us!

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