What is Artificial Intelligence (AI)?HOW DOES ARTIFICIAL INTELLIGENCE WORK?

Imagine a future in which intelligence is not limited to human beings !!! A future where machines can think like humans and work with humans to create an even more interesting universe. Although the future is far away, artificial intelligence is still very much in vogue.         

                                                                                                                                                                                                                                                                                                                                                                                                                                                               A lot of research is being done in almost all areas of AI such as quantum computing, healthcare, autonomous vehicles, the Internet, robotics, etc. to increase the number of research papers published annually by 90%.                                                                                                                                                                                                                                                                                                                                                                                                                                  This includes the use of artificial intelligence so that machines can learn about this task from experience without special programming.                                                                                                                                                                                                                                                                                                                                                   What Is Artificial Intelligence ?we can also say that machines learn automatically without holding a human hand !!! The process starts with feeding them good quality data and then trains the machines by creating different models of machine learning using data and different algorithms. The choice of algorithm depends on what kind of data we have and what kind of work we are trying to automate.                                                                                                                                                                                                                         However, in general, machine learning algorithms are divided into 3 types.                                                                                                                                                                                                                                    1.Monitoring Machine Learning Algorithm, 2.Non-Supervised  Machine Learning Algorithm, 3. Re Reinforcement Machine Learning Algorithm                                                                                         

                                                                                                                                                                                                                                 In-depth machine learning! Learns by copying the inner workings of the human brain to take action and implement decisions based on these data.                                                                                                                                                                                                                                                                                                                 Artificial Neutral Networks :Basically, deep learning uses artificial neural networks to implement machine learning. These neural networks are interconnected in a web-like structure, similar to the network in the human brain (basically a simpler version of our brain). 

                                                                                                                                                                                                                          This web-like structure of artificial neural networks means that the ability to process data in linear perspectives is an important advantage over traditional algorithms that can only process data in linear perspectives. An example of a deep neural network is the rank brain, which is a factor in the Google search algorithm.                                                                                                                                                                                                                                                                                                                                                Reinforcement Learning is a part of artificial intelligence in which the machine learns something that is equivalent to human learning. For example, suppose the machine is a student. Here the fictitious student learns from his mistakes over time (as we had to do !!).                                                                                                                                                                                                                                 Learns to decide the next course of action based on its current state and will maximize rewards in the future. And like humans, it works for machines too! For example, Google 

                                                                                                       Learns to decide the next course of action based on its current state and will maximize rewards in the future. And like humans, it works for machines too! For example, Google Alfago's computer program in 2017 using enforcement learning, such as a chess computer robot game to defeat the world champion. Can behave and act like humans.                                                                                                                                                                                                                                                                                                                                                                                                                                                 

Robots :  Now, robots can act like humans in certain situations, but can they also think like humans? That's where artificial intelligence comes from! Allows robots to work intelligently in certain situations. These robots solve problems in a limited circle or Are able to learn in a controlled environment. 

                                                                                                                                                                                                                                                                                                                                                 An example of this is Kismat, a social interaction robot developed in M.I.T's Artificial Intelligence Lab. It also recognizes the language of the human body and interacts with our voices and human beings accordingly.                                                                                                                                                                                                                                                                                                                Another example is the Robonote, developed by NASA to work with astronauts in space.                                                                                                                                                                                                                                                                                                                                                                                                                      Computer Vision!The Internet is full of pictures! This is the age of selfies, where taking a photo and sharing it has never been easier. In fact, millions of images are uploaded and viewed on the Internet every day. And while humans can easily do this without thinking, it's not so easy for computers! This is where computer vision comes in.                                                                                                                                 

                                                                                                                                                                                                                                                                                                                         This information can be used to identify the object in the image, to identify the contents of the image to group different images together, and so on. Computer Vision applies to navigation for suicide vehicles that analyzes images of the environment, such as the astronomical Inspirit and Opportunity Rovers that landed on Mars. 

                                                         Recommendation System:  when you're using Netflix, do you get recommendations for movies and series based on your past choices or genres you like?  This is done through suggestion systems that provide you with some guidance on choosing the next option in the wide selection available online.                                                                                                                                                                        A proposing system can be based on content-based recommendations or even collaborative filtering. The content-based recommendation is made by analyzing the contents of all site.                             The Internet of Things! Can learn to imitate human actions using and without manual intervention. The Internet of Things, on the other hand, is a network of different devices connected to the Internet, and they can collect and exchange data with each other. Need to submit and sort for. The Internet of Things is used to collect and store large amounts of data that require artificial intelligence algorithms.