The form of intelligence is artificial

Curiosity has always eluded man. This has led to many inventions and discoveries. One of the best examples of man’s inventions is the computer. An image automatically comes to mind. They are capable of large calculations, repetitive and boring jobs that took us a long time.

Exactly what the computer provides is not the ability to be rigid or thoughtless. But rather to behave conditionally; sometimes this way, sometimes that way, as appropriate. This means applying knowledge to action. Believe it or not, even here, attitude is the most important thing. We ask these machines to do the work that we already know and do. But we want them to do it faster and with greater precision.

The irony is that humans are trying to produce intelligence through artificial ways. It is just the science of producing machines (making machines) that have intelligence and a bit of common sense. It’s about how a system is programmed to behave like humans. They can think, process information, make decisions, and act accordingly. Yes, we prefer illusions to reality.

The story could be associated with early-age Egyptians, but this received its formal name ‘Artificial Intelligence’ at the Dartmouth Conference, Hanover, New Hampshire in 1956 under the leadership of John McCarthy. And the world came to know the level of human thought. Many things followed. LISP, or list processing, the language used for AI was developed by John McCarthy in 1958. In 1970, the world got its first medical science expert system for detecting blood infections, MYCIN. Prologue or programming in logic, one of the main languages ​​of AI was developed by the Japanese in 1972. A great thing that really astonished the world happened in 1991 when a human chess master was defeated by a computer.

And they say rest is history …

There are several fields in which you have found a good answer. The fields include:

* Game: program a system to play games like chess.

* Expert Systems – Creates a knowledge base, helps systems make decisions based on their experience (knowledge base).

* Human sensory systems: emulate the senses of human voice and vision.

* Neural networks – Try to reproduce the connections (neurons) that exist in the human brain and thus simulate intelligence.

* Robotics: a popular field. Program a system in such a way that it is able to see, understand, and react to external stimuli.

The continued success of adding intelligence to machines so that we cannot distinguish whether it is a machine or a human seems assured. However, the goal of duplicating human intelligence or the idea of ​​creating a clone of humans in intelligence is a bit controversial. We are successful in creating robots (machines) that can give answers in defined situations. But we still can’t duplicate our daily circumstances. We face uncertain situations. To adjust to these, we need common sense and thought. Thought is a set of mental processes that occur in an unconscious mind. We also do it deliberately. The question still remains. If we can deliberately add this thought, can we ever reach that higher level of subconsciousness?

Yes, sometimes you have to put things aside to allow time to respond. So can a computer be smart, think, understand and act at the same time, shouldn’t you question now?