We live in a rapidly changing world. A study of nature leads me to believe adaptation is the key to survival. Whatever you pursue make sure you keep current with current events and how they may affect your plans.
so let's read about AI
From Siri to google assistant, self-driving cars, and ridesharing cabs like Uber, it’s Artificial Intelligence that makes businesses intelligent and smarter. Have you ever imagined how cab booking apps estimate the price of your ride even before you take it? But do you know what is artificial intelligence and how it works?
What is Artificial Intelligence?
Artificial Intelligence (AI) is a broad branch of computer science, that aims to create systems that can function intelligently and independently just like humans.AI is an imitation of human intelligence processes and machines. The intelligence processes include learning, reasoning, and self-correction. Specific AI applications include machine vision, speech recognition, and expert systems. After understanding what is artificial intelligence, you need to know how it works and what components make machines work intelligently.
Humans can speak and listen to communicate through language; this is the field of speech recognition. Since speech recognition is statistically based, hence it’s called statistical learning.
Natural Language Processing
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.
Moreover, they can recognize the surroundings around them through their eyes which create images of that world. This field of image processing even though is not directly related to AI is required computer vision.
Humans can understand their environment and move around fluidly; this is the field of robotics. Robotic Process Automation improves efficiency of the business’s productivity and processes by automating repetitive and complex tasks.
Humans can see patterns such as the 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 neurons to learn things.
How Artificial Intelligence Development works and how is it related to Human Brain
Understanding what is artificial intelligence is not enough until you know how it comes into play.
If we can replicate the structure and 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 more in-depth and we use those to learn the complicated thing that is the field of deep learning. thingsThere are different types of deep learning and machines that are fundamentally 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. But what is CNN?
A CNN is used to recognize objects in a scene; this is how computer vision fits in object recognition is accomplished through AI.
Humans can remember the past as what you had for dinner last night, well at least most of us. We can get a neural network to recognize a limited past this is a recurrent neural network.
As you see there are two ways an eye works, one is symbolic-based, and another is data-based. For the database side, it is called machine learning as 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 the spending you can plot that data to see some 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 are natural for humans to understand and learn, machines can learn in many more aspects like even a hundred or thousands. That’s why devices can look at lots of high-dimensional data and determine patterns.
Once it learns these patterns, it can make predictions that humans cannot even come close to. We can use all these machine learning techniques to do one of two things, classification or prediction. For example, when you use some information about customers to assign new customers to a group like young adults, you are classifying their customers.
If you use data to predict if they’re likely to defect to a competitor, then you’re making a prediction. Certain learning algorithms are used in the AI development process to run the machines smartly. Let’s understand how different learning algorithms perform.
Here are some of the learning algorithms used to make machines Artificially Intelligent
If you train an algorithm with data, which also contains the answer, then it’s called supervised learning. For example,e when you introduce 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. For example, 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 develop 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.
AI Development has the potential to reconstruct businesses with its innovative features like natural language processing, machine learning, image processing, and robotic process automation.
About Dr Pratik Mungekar
Today, the name of Prof. Dr Pratik Rajan Mungekar is no longer common but is emerging as a distinguished Scientist, Professor, World Educationist, Published Writer, Counsellor, Social Worker and an International Speaker