Research in the field of machine learning and AI, now a key technology in practically every industry and company, is far too voluminous for anyone …

Meta's new AI model can translate 200 different languages - including many low-resource ones not supported by current translation systems - thanks to the work of what CEO Mark Zuckerberg calls'one of the world's fastest supercomputers.' The company dubs its effort No Language Left Behind (NLLB) and it hopes to enable more than 25 billion translations across Meta's apps each day. Although there are more than 7,100 known languages spoken worldwide today, many of them do not have enough data sets available in order to train AI. 'The AI modeling techniques we used are helping make high quality translations for languages spoken by billions of people around the world,' Meta CEO Mark Zuckerberg said in a statement These so-called low resources languages include Egyptian Arabic, Balinese, Sardinian, Nigerian Fulfulde, Pangasinan and Umbundu - which are spoke by a sizeable population but not as much on the internet itself. 'The AI modeling techniques we used are helping make high quality translations for languages spoken by billions of people around the world,' Meta CEO Mark Zuckerberg said in a statement posted to Facebook. The new model can translate 55 African languages with'high-quality results,' the company states.

More than 7,000 languages are currently spoken on this planet and Meta seemingly wants to understand them all. Six months ago, the company launched its ambitious No Language Left Behind (NLLB) project, training AI to translate seamlessly between numerous languages without having to go through English first. On Wednesday, the company announced its first big success, dubbed NLLB-200. It's an AI model that can speak in 200 tongues, including a number of less-widely spoken languages from across Asia and Africa, like Lao and Kamba. According to a Wednesday blog post from the company, NLLB-200 can translate 55 African languages with "high-quality results."