IStock / ryccio Google has previously taught its artificial intelligence to play games, and it's even capable of creating its own encryption. Now, its language translation tool has used machine learning to create a 'language' all of its own. In September, the search giant its Google Neural Machine Translation (GNMT) system to help it automatically improve how it translates languages. The system analyses and makes sense of languages by looking at entire sentences – rather than individual phrases or words. Following several months of testing, the researchers behind the have seen it be able to blindly translate languages even if it's never studied one of the languages involved in the translation.

Jun 27, 2016 - It also offers practice exercises, translation support, and virtual whiteboard. Voxy: Voxy is a language learning app that can be customized to suit. A popular app in the Spanish-speaking market, Voxy provides users with an. Helps English learners by providing conversational stories and transcripts,.

'An example of this would be translations between Korean and Japanese where Korean⇄Japanese examples were not shown to the system,' the Mike Schuster, from Google Brain. The team said the system was able to make 'reasonable' translations of the languages it had not been taught to translate.

In one instance, a published alongside the blog, says the AI was taught Portuguese→English and English→Spanish. It was then able to make translations between Portuguese→Spanish. By Amit Katwala 'To our knowledge, this is the first demonstration of true multilingual translation,' the paper explains. To make the system more accurate, the computer scientists then added additional data to the system about the languages. However, the most remarkable feat of the research paper isn't that an AI can learn to translate languages without being shown examples of them first; it was the fact it used this skill to create its own 'language'. 'Visual interpretation of the results shows that these models learn a form of interlingua representation for the multilingual model between all involved language pairs,' the researchers wrote in the paper. An is a type of artificial language, which is used to fulfil a purpose.

In this case, the interlingua was used within the AI to explain how unseen material could be translated. 'Using a 3-dimensional representation of internal network data, we were able to take a peek into the system as it translated a set of sentences between all possible pairs of the Japanese, Korean, and English languages,' the team's blogpost continued. The within the network allowed the team to interpret that the neural network was 'encoding something' about the semantics of a sentence rather than comparing phrase-to-phrase translations. 'We interpret this as a sign of existence of an interlingua in the network,' the team said. As a result of the work, the Multilingual Google Neural Machine Translation is now being used across all of Google Translate and the firm said multilingual systems are involved in the translation of 10 of the 16 newest language pairs. The research from the Google Brain team follows its recent work that taught AI to. In a research paper, the scientists created three neural networks: Alice, Bob, and Eve.

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Each of the networks was given its own job. One to create encryption, one to receive it and decode a message, and the final to attempt to decrypt the message without having encryption keys. After training, the AIs were able to convert plain text messages into encrypted messages, using its own form of encryption and then decode the messages.

By Sophia Sanchez The spike in the number of technology-enabled classrooms in the past few years clearly indicates what a crucial role technology already plays when it comes to education. The dawn of mobile phones has changed the way people access information. Almost everything we need is available at our fingertips and available on demand.

The fact that the current breed of students is comfortable using cool new gadgets only goes to show that the influence of technology is here to stay. The market is full of apps that make any classroom an interesting place for both students and teachers. From easy-to-use user interfaces, to customizable features to suit individual needs, these apps have been built to deliver great user experience. My experience using these below listed apps has been great. While some of them were recommended to me by my colleagues, a few others were suggested by my students.