You hear the word artificial intelligence in many places. It is sometimes used as a synonym for machine learning. But it is much broader than machine learning. Here I am going to describe what is artificial intelligence and how the world needs artificial intelligence.
Unlike the natural intelligence of humans and animals, this is the intelligence displayed by the machine. The main function of artificial intelligence is to enable the machine to think without human intervention, and thus the machine can make its own decisions.
The first thing that comes to the human mind AI is the robot. But robots don’t just have AI. Today many tech product companies are selling goods by advertising AI in their products. In fact, AI is everywhere today.
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Google Maps shows you the route with less traffic that is AI. Google can answer a variety of questions. Can drive without a driver? On Facebook, we can only see advertisements of our favorite things. These are all AI.
When human intelligence is simulated (programmed) into a machine through programming, when it begins to think and act likes a human, it is called machine intelligence or artificial intelligence.
Such machines carrying human intelligence can learn and solve problems just like humans.
Your gadget can recognize and name any object, which we call virtual perception. It recognizes your voice and fingerprint before unlocking your mobile.
When you ask for an opinion on any subject, any software on your computer gives relevant suggestions. When translating on Google, you can translate to a language that suits you. So much work can be done by a machine just like a human being can do.
Artificial intelligence is the element that enables the machine in this way. The robot Sophia, who came to Nepal some time ago, is the best example of artificial intelligence. She can talk like a human, talk twice, identify objects, and answer in a way that makes her think like a human.
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But it does not contain human emotions and sensations. Artificial intelligence is a branch of computer science. Computer science students can easily understand this. But there are many questions in the minds of the general public who benefit from artificial intelligence on a daily basis but do not know anything about it.
How can a machine gather human-like knowledge? How Does Artificial Intelligence Work? To understand how artificial intelligence actually works, it is essential to understand machine learning and data science related to this subject.
What is machine learning?
Machines like humans do not have natural intelligence. The machine itself is like a newborn baby. It also gradually sees and learns everything. But it does not learn anything by looking at itself. It should be taught by showing those things.
The newborn sees the landscape around him, sees its regular pattern, imprints it on the brain, and builds his brain accordingly. In this way, as he grows older, he learns from various books and scholarly bags.
But machines are not as automatic as humans. It operates from the human brain. Scientists teach it. Just as we need to learn from our environment, machines need data.
Such data is stored in a computer-understood programming language. The machine reads these codes with its algorithm. Understanding these data fills the machine’s mind with human-like knowledge. It begins to recognize people.
Understands the situation and begin to analyze and project accordingly. Learning is the whole process. Machine learning is a subfield within AI.
What is data and how does it work?
Statistics are data. Your Smartphone locks the phone by recognizing your fingerprint. Because your fingerprint data identifies your machine and the artificial intelligence inside the device identifies it with your finger.
How can any software accurately predict the weather? Artificial intelligence also plays a big role in this. App developers or scientists feed weather data into machines over the years.
A pattern of those data is formed and the machine projects the weather based on experience by looking at the same pattern which is correct.
With the help of data, a mobile app can trace the disease in plants. The scientist collects the various symptoms of a particular diseased plant or its representations and shows the pictures of the data to all the machines. Once the machine takes the data, it goes to his brain and he can identify such diseased plants.
There is a machine. There is data. The machine is working after reading the date. There is an algorithm in this aspect of machine reading, which many of you have been listening to.
What is an algorithm?
There is data, but the algorithm is a set of rules for how a machine studies the core of data. In a language like grammar, it is an operational sequence to learn what to do next as the machine studies the data and works on its output.
For example, a machine segment any data it receives. Looks at its input and output. When there is such an input it looks at the pattern that such an output is coming and if we give new data it will come up with a new one based on that experience.
