Meta’s Founder and Chief Executive Officer (CEO) Mark Zuckerberg recently gave a glimpse of what metaverse will look like during the ‘Inside the Lab: Building for the metaverse with AI’ livestream event. Zuckerberg shared the latest progress Meta AI is making in different areas like self-supervised learning and computer vision.

The Meta CEO also revealed that the company aims to build an AI-powered “universal speech translator” for metaverse that works for everyone in the world.  As per the company, almost 2 billion people or about 25 percent of the world speak a language that doesn’t have a translation system available.

To resolve this issue, Meta is working on a two-fold project. The first part is No Language Left Behind and the second is Universal Speech Translator.

WATCH | Click on Zee Business Live TV Streaming Below:

According to the blog, “The first is No Language Left Behind, where we are building a new advanced AI model that can learn from languages with fewer examples to train from, and we will use it to enable expert-quality translations in hundreds of languages, ranging from Asturian to Luganda to Urdu

The second is Universal Speech Translator, where we are designing novel approaches to translating from speech in one language to another in real-time so we can support languages without a standard writing system as well as those that are both written and spoken.”

Meta faces data scarcity which is a huge obstacle when it comes to expanding translation tools across the world.

“MT systems for text translations typically rely on learning from millions of sentences of annotated data. Because of this, MT systems capable of high-quality translations have been developed for only the handful of languages that dominate the web. Expanding to other languages means finding ways to acquire and use training examples from languages with sparse web presences.”, wrote Facebook AI Research in a company blogpost.

With these projects, Meta aims to improve translations so that people who speak different or even lesser-known languages can socialise in metaverse easily.

“As we build for the metaverse, we’ll continue to break ground in areas like self-supervised learning and building the world’s most powerful AI supercomputer to drive the future of AI research breakthroughs. We’re at the beginning of this journey, and today’s advances provide a snapshot of what’s possible through the power of AI and open science,” Meta said in a blog post.