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Artificial Intelligence: The Machines Are Speaking


No, this is not the end of days, but it is the next stage in the evolution of machine learning and AI as performed in an experiment by researchers at the Google AI division.
In September, Google launched the Neural Machine Translation (GNMT) system which used deep learning to ensure more natural and more accurate translations of different languages. The successful launch led to a slew of experiments by the Google AI team to ascertain if machines could use deep learning to ‘teach themselves’ to translate different languages.

Zero-Shot Translationai

The hypothesis was that if a machine could be taught to translate Korean to English and vice versa, as well as English to Japanese and vice versa, could a machine then be able to translate Korean to Japanese, without using English as the bridging language. Remember the machine has NOT been taught to translate Korean to Japanese, only Korean to English and Japanese to English.
The Results – It worked! The computer was able to translate Korean to Japanese and vice versa, without any English. It wasn’t a perfect translation by any means but it did prove that computers are able to make reasonable connections between words and phrases that it has not been programmed to do.

A New Language?

To be able to produce these translations, Google researchers theorised that computers must have developed a new language, an internal language that can be used to develop the ‘skills’ needed to translate between languages using relational concepts in the neural network. The new ‘language’ is known as ‘interlingua’ and researchers say, though difficult to describe, it appears to be a systems created independently to understand concepts and words that it has never been programmed to do.
The question remains: Is this the world’s deepest fear come to light, or merely the next stage in computer learning which will help us all evolve?

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William R. Feins , freelance journalist from London, UK; he received his B.A. degree in Economics and his Masters in Sociology. William has always been interested in the mechanics of business and the inspiration of original thinkers, and firmly believes that the former can’t succeed without the latter. In his spare time, he enjoys the ridiculous spectacle of watching table tennis on a big screen (preferably at a pub) and reading weighty tomes about World War II.


  1. interlingua means artificial intelligence can understands certain concepts and words it is not programmed to do. What if it learns how to lie to it’s users? This is bringing memories of Skynet from the film Terminator 2 and how it launched nuclear missiles against USA enemies in Russia when the american government tried to shutdown Skynet! AI must be monitored and controlled at all times by the police so it doesn’t conduct any criminal activities.

  2. I liked the premise of this study. Simple and elegant to show a proof of concept. Machine learning is not something to be afraid of but rather embrace as our future.

  3. But of course there are some reasons to worry about robots. The use of robots in industrial leads to unemployment as many jobs are performed by machines. Besides industrial robots can be dangerous and cause harm to human workers. So much attention must be paid to security. There are a number of competitions and prizes to promote research in artificial Intelligence. Many large companies have created robots which can perform specific functions in the manner of a man.

  4. Before invention of radio when people heard soon a machine will Tell us about latest news around the world but no body believed.



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