Can Machines Really Think? The Future of Artificial Intelligence

The era of artificial intelligence is growing up and changing traditional fields. But the question is, can machines really think? The answer is not easy to say. There are so many hypotheses and experiments about it. Here, we are trying to understand the process and gather knowledge about artificial intelligence (AI).

In 1950, Alan Turning, a famous person who cracked the code behind Nazi war communications, published an article and raised the question: Can machines really think? There was a story to tell about his paper. 

An interrogator asked two individuals and tried to figure out something about them. The fundamental was evaluating the answers and collecting the findings about them. Turning thought, the computer will ask the same questions, get the answers, and do the same as the interrogator. But at that time, it was not possible anymore.

But it’s 2024, and we are observing that there are so many applications available that can predict and draw conclusions through analysis. Though the point of accuracy is still questionable, it’s doing fantastic. Then the question arose again. Can it really think?

Artificial intelligence is a fascinating field that philosophers and scientists have been debating for a long time. We can separate the human brain from the machine to understand. 

Human Brain vs. Machine Intelligence

Humans are the wonderful creation of the Almighty, who has the power of thinking. Let’s think of a health coach who asks different questions and then calculates the answers to understand the behavior and lifestyle of a person. The coach then makes a proper outline to help the person. Here, the human brain will collect answers, and the brain system will evaluate them.

In machines, there are no systems that can think like humans. But there is definitely some algorithm that can run and do whatever we set it to. For example, you are working in a technology company where so many employees work at different times. Also the job left and new hiring is also numarous time. Then you can build a system and make an algorithm that has the previous data and the proper guide to observe the present. The system can identify the leave employee, assume the new vacancy, and automatically generate a report. These are all about algorithms and nothing else. 

So where is the difference? The main difference is data. The human brain can evaluate based on the current situation, but artificial intelligence or machines need past data and then compare it with present data to generate a result.

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