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SELF-RELIANCE THROUGH THE USE OF INDIAN LANGUAGES ​​IN AI

Indian knowledge tradition is a broad concept. It helps in developing a broader dimension and approach. Artificial intelligence, which is prevalent in today’s time, if defined by understanding it in the real sense, is the cloning of the human brain. The machine itself is non-living, but the resultant output of the input that the human […]

Indian knowledge tradition is a broad concept. It helps in developing a broader dimension and approach. Artificial intelligence, which is prevalent in today’s time, if defined by understanding it in the real sense, is the cloning of the human brain. The machine itself is non-living, but the resultant output of the input that the human brain provides to it through software and programming is visible to us in the form of applications of artificial intelligence. It is, as much as its creator, intelligent. If the scientists of this field understand the functioning of the brain via emotional manifestations, then the robot made by them can also be emotional. The artificial intelligence that is being talked about nowadays has some limitations, such as a robot can do as much work as its program or software will command it to do.

Generally, these programs are built based on many facts, applications, and examples. If the conditions are changed, then these machines or robots will work to the extent that the situations have been programmed in them. It is to be noted here that the ideas come to us originally in our languages. There may be any other language, but in the abstract or latent state, the conceptual process is relative to the native language of the person. It is to be noted here that while moving from one linguistic level to another in the form of expression of ideas, they gradually become less in terms of their intensity and originality. More linguistic transfer destroys their original feeling. From this point of view, it will be possible to make more efficient machines using artificial intelligence using the original language of thoughts. People learn from their experiences, the wider their experiences, the more will be their thinking power.

There are three main components of artificial intelligence— thinking power, software, hardware. Wherever work is going on, on this subject all over the world, all three components work separately. The main component of this work is to clone the thinking power or mental emotions.

The work of software can be done by any skilled software engineer, and the work of hardware can be done by any company. Therefore, its core lies in cloning mental impulses. The data of a person’s thoughts or thinking acts as a raw material or main component in it. There is no match of countries like India, China, Japan all over the world in the efficiency of behavior and quick diagnosis of situations. China is famous to copy a product immediately. Thinking power and inclination to the knowledge of India and the technological brains of Japan is also noteworthy. Therefore, the main component of artificial intelligence is most available in countries like India, China, Japan.

India is not able to use it fully, because it is not aware of the importance of its knowledge in an integrated way, and unorganized Indian talent. With the desire to earn more money through migration, that knowledge is continuously being given to the country which is very advanced in terms of software. It can be explained to a nonprofessional through an example as if food is the need of every person, but the process till the food is made is a complex set of components. The farmer does the farming, the agent buys it from the market, the agent retails it, sells in the market, the customer buys it from the retailer and prepares food. The agent has the system, which is necessary for the management between the customer and the farmer. Therefore, neither the farmer earns the profit equal to his hard work, nor the customer. The middleman, the highest-earning agent, and the customer suffer the impact of inflation. The same tendency is with any technology in the world, technology is lobbying for the one who benefits the most. Therefore, by developing a system through our languages, by stopping the drain of the brain, a speedy pace can be made towards self-reliance.

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