What is Artificial Intelligence:
Today I'm going to share the topic artificial intelligence. What is artificial intelligence?. Artificial intelligence is the ability of a computer program or a machine to think or learn. It is a field of studies which tries to make computers more smart they work by their own without being encoded with commands. An extreme goal of artificial intelligence is to make computer program to learn saw problems and think logically.
Fields in which Artificial Intelligence Involves:
Artificial intelligence are of various fields like the computer science, neuroscience, mathematics, linguistics, psychology, and philosophy etc. Currently artificial intelligence has taken its place in most of the industries majorly automobile machinery process of factories, stabilization of ships and aircrafts and other with minimal or reduce human interventions this little doubt. Artificial intelligence has a potential to greatly improve our lives. It will make the road safer, helping human medicine and countless other jobs which will require less labor force.
Human Brain And Artificial Intelligence:
Now let's talk about the human brain the human brain is a network of neurons and we use these to learn things. If we can replicate the structure and the function of the human brain we might be able to get cognitive capabilities. In machines this is the field of neural networks. If these networks are more complex and deeper and we use those to learn complex thing that is the field of deep learning.
Types of Deep Learning:
There are different types of deep learning and machines which are essentially different techniques to replicate what the human brain does if we get the network to scan images from left to right top to bottom it's a convolution neural network a CNN is used to recognize objects in a scene. This is how computer vision fits in an object recognition is accomplished through AI. Humans can remember the past like what you had for dinner last night well at least most of you we can get a neural network to remember a limited past this is a recurrent neural network. As you see there are two ways a eye works one is symbolic based and another is data based. For the database side called a machine learning we need to feed the Machine lots of data before it can learn. For example if you had lots of data for sales versus advertising spend you can plot that data to see some kind of a pattern if the machine can learn this pattern then it can make predictions based on what it has learned while one or two or even three dimensions is easy for humans to understand and learn. Machines can learn in many more dimensions like even hundred or thousands that's why machines can look at lots of high dimensional data and determine patterns once it learns these patterns it can make predictions that humans can't even come close to we can use all these machine learning techniques to do one of two things. For example when you use some information about customers to assign new customers to a group like young adults then you are classifying that customer if you use data to predict if they're likely to defect to a competitor then you're making a prediction.
Artificial Intelligence On Your Signs:
There is another way to think about learning algorithms used for AI. If you train an algorithm with data that also contain the answer then it's called supervised learning. For example when you train a machine to recognize your friends by name you'll need to identify them for the computer. If you train an algorithm with data where you want the machine to figure out the patterns then it's unsupervised learning. Another example is if you might want to feed the data about celestial objects in the universe and expect the machine to come up with patterns in that data by itself if you give any algorithm a goal and expect the Machine through trial-and-error to achieve that goal then it's called reinforcement learning. A robot's attempt to climb over the wall until it succeeds is an example of that.
Goals and Purpose of Artificial Intelligence:
The basic purpose of is to enable computers to perform such intellectual tasks like decision making, problem solving etc. The easiest way to think about artificial intelligence is in the context of human after all humans are the most intelligent creatures. AI is a broad branch of computer science. The goal of AI is to create systems that can function intelligently and independently. Humans can speak and listen to communicate through language. This is the field of speech recognition much of speech recognition is statistically based hence it's called statistical learning. Humans can write and read text in a language this is the field of NLP or natural language processing. Humans can see with their eyes and process what they see this is the field of computer vision. Computer vision falls under the symbolic way for computers to process information. Recently there has been another way which I'll come to later humans recognize the scene around them through their eyes which create images of that world this field of image processing which even though is not directly related to AI is required for computer vision. Humans can understand their environment and move around fluidly this is the field of robotics humans have the ability to see patterns such as grouping of like objects this is the field of pattern recognition. Machines are even better at pattern recognition because they can use more data and dimensions of data this is the field of machine learning. Now let's talk about the human brain the human brain is a network of neurons and we use these to learn things. If we can replicate the structure and the function of the human brain we might be able to get cognitive capabilities. In machines this is the field of neural networks. If these networks are more complex and deeper and we use those to learn complex thing that is the field of deep learning.
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