Applications of machine learning in artificial intelligence.
What if I say, “machines are learning, and humans are hooked?”. This is what is happening in the precent world. Humans must learn in-order to adapt to the changing environment. It will need them to acquire knowledge, skills, and experience. For the people they have a brain to imagine things and learn thins in a proper manner. If we look at the machines in the modern world, do they have intelligence? Can they learn by themselves? No! they cannot learn by themselves because they do not have any intelligence embedded to them. If they also have a brain to think like humans and understand human emotions machines also can learn by themselves. Everyone knows about the Knight Rider vehicle. The car can talk, think, make decisions, and drive by itself. At that era when I was a kid I was thinking if I can build a car someday like day it will be amazing. I am quite sure every child had that dream if he watched Knight Rider. There are pros and cons of machines when they will start to learn. One time the car was malfunctioning, and they struggle very hard to get the car back into normal working mode. So, when humans give the ability the machines to learn there are some parameters that they must consider because giving all the abilities for a machine is not a good practice.
So now we are living on 2021 where world has developed majorly on computer processing, networking, automobile, and health. There are major inventions that used the Artificial intelligence and machine learning. Tesla auto self-driving car is a good example. There are some experts’ systems that can emulate a doctor that is specialized in a specific area and give prescriptions to the patients. Those are few examples of machine learning applied on artificial intelligence. What is artificial intelligence? What is machine learning? Those are trending topics of the precent world. If we elaborate the word artificial intelligence it is simply the intelligence demonstrated by the machines, and machine learning is getting decisions based on the algorithms. Based on these principles there are many applications based on this technology. There are health care, logistics, and supply chain, manufacturing, networking, human resource management, agriculture and more. Why to use artificial and machine learning is because it more convenient, efficient, and effective. As I explained earlier there is a good side and a bad side like a coin has two sides. Humans are the people who learn this machine to think and work according to the algorithm. But the problem arises will they think from their artificial intelligence and create copies of them? Will they override the humans? There will be day that this will learn and outsmart the human’s brain and that day in not so far. Because humans are working inside their own bubble and they are very scared to burst their bubble and learn, think, and work. Because they are hooked with the devices. They are not upgrading their knowledge, but machines are learning. As I explained there are developed systems and robots that do not allowed to think by them self and work because if they allow it there will not be any control over the system or that robot. So, humans must consider the possibilities what can go wrong or else the word will be end up with machines controlling the whole world.
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