People & Lifestyle
Ghana Going All-in to Become the Gaming Capital of Sub-Saharan Africa

Ghana is becoming increasingly welcome to all forms of gaming. Not only is a Ghanaian video game company making its way into the market, but governing bodies are making a huge push for eSports to become established in the country.
People are embracing games of all sorts like never before in Ghana, and innovative companies are more than willing to facilitate the ever-growing audience. Now, Ghana is home to an exciting game developer and a determined eSports organization, which, in turn, has encouraged other gaming organizations to offer their titles to the people of Ghana – further enhancing the scene in the country.
Leti Arts of Accra
Before Leti Arts, there wasn’t a gaming industry in Ghana, let alone in Sub-Saharan Africa, so when Eyram Tawia took the bold step to establish Leti Arts, he started a revolution.
Tawia says that he grew up with comic books and video games, using a combination of the two to spark the company’s flagship game, Africa’s Legends. The game has been so popular and groundbreaking that Leti Arts is at work on an online and mobile sequel, Africa’s Legends: Reawakening, which features heroes from all over Africa.
Leti Arts continues to grow its profile, being nominated and winning numerous awards and attending major gaming events. Earlier this year, the gaming company was invited to Paris Games Week, putting on a showcase of their creations.
We are live at @ParisGamesWeek!!! How cool is our booth? pic.twitter.com/7WdDXTbHsX
— Leti Arts (@letiarts) October 31, 2019
Establishing eSports in Ghana
Much like in any other form of sport, the only way for a country to establish itself as an international leader is to start from the ground up and compete against others to continue to improve.
This is the process being put in place by the Ghana Electronic Sports Association, which acts as a bridge between the government, the gaming industry, and the Ghanaian gaming community. The Association has been aggressive and direct in its attempts to get the government to fund eSports exploits, which bodes well for the emerging sector under its wing.
Competitive gaming tournaments are happing all over Ghana now. The Golden Hour eSports tournament, Ghana Master League, and MTN iFest all took place in 2019 to the joy of fans in the country. They were very successful, and there are already plans taking shape to bring more eSports to Ghana in 2020.
Growing gaming scene attracting outside brands
A strong sign of a flourishing national industry is that brands from outside the country want to offer their services. It’s a clear indicator that the market is doing well and that there’s a demand for more gaming services, in this case.
One industry that is always keen to explore new jurisdictions and expand its offering is that of iGaming. Featuring hundreds of different games, the online casino platform has decided that the Ghana gaming community is healthy enough for it to start offering its games in the country. The likes of Neon City, Rich Wilde and the Tome of Madness, Starburst, and Mother of Horus are all very popular around the world and look set to expand their player base with their introduction to Ghana.
As gaming of all kinds becomes more available across the country, the entertainment medium will inevitably become more popular. There’s already a strong foundation of gaming on consoles, mobiles, computers, and now in the competitive scene for Ghana, so the only way is up for the industry.
Down the line, the likes of Leti Arts and the Ghana Electronic Sports Association could be seen as pivotal pioneers for the industry in Africa.
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Meta’s AI AI machine translation research helps break language barriers

Today, Meta announced that it has built and open sourced ‘No Language Left Behind’ NLLB-200, a single AI model that is the first to translate across 200 different languages, including 55 African languages with state-of-the-art results. Meta is using the modelling techniques and learnings from the project to improve and extend translations on Facebook, Instagram, and Wikipedia.
In an effort to develop high-quality machine translation capabilities for most of the world’s low-resource languages, this single AI model was designed with a focus on African languages. They are challenging from a machine translation perspective. AI models require lots and lots of data to help them learn, and there’s not a lot of human translated training data for these languages. For example, there’s more than 20M people who speak and write in Luganda but examples of this written language are extremely difficult to find on the internet.
We worked with professional translators for each of these languages to develop a reliable benchmark which can automatically assess translation quality for many low-resource languages. We also work with professional translators to do human evaluation too, meaning people who speak the languages natively evaluate what the AI produced. The reality is that a handful of languages dominate the web, so only a fraction of the world can access content and contribute to the web in their own language. We want to change this by creating more inclusive machine translations systems – ones that unlock access to the web for the more than 4B people around the world that are currently excluded because they do not speak one of the few languages content is available in.
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“It’s impressive how much AI is improving all of our services. We just open-sourced an AI model we built that can translate across 200 different languages — many of which aren’t supported by current translation systems. We call this project No Language Left Behind, and the AI modelling techniques we used are helping make high quality translations for languages spoken by billions of people around the world. To give a sense of the scale, the 200-language model has over 50 billion parameters, and we trained it using our new Research SuperCluster, which is one of the world’s fastest AI supercomputers. The advances here will enable more than 25 billion translations every day across our apps. Communicating across languages is one superpower that AI provides, but as we keep advancing our AI work it’s improving everything we do — from showing the most interesting content on Facebook and Instagram, to recommending more relevant ads, to keeping our services safe for everyone,” said Meta CEO Mark Zuckerberg in a post on his Facebook profile.
Language is our culture, identity, and lifeline to the world. However, as high-quality translation tools don’t exist for hundreds of languages, billions of people today can’t access digital content or participate fully in conversations and communities online in their preferred or native languages. This is especially true for hundreds of millions of people who speak the many languages of Africa.
“Africa is a continent with very high linguistic diversity, and language barriers exist day to day. We are pleased to announce that 55 African languages will be included in this machine translation research, making it a major breakthrough for our continent,” Balkissa Ide Siddo, Public Policy Director for Africa said while speaking about the launch of the AI model. “In the future, imagine visiting your favourite Facebook group, coming across a post in Igbo or Luganda, and being able to understand it in your own language with just a click of a button – that’s where we hope research like this leads us. Highly accurate translations in more languages could also help to spot harmful content and misinformation, protect election integrity, and curb instances of online sexual exploitation and human trafficking.”
While commenting on accessibility and inclusion in the pursuit of building an equitable metaverse, Ide Siddo added “At Meta, we are working today to ensure that as many people as possible will be able to access the new educational, social and economic opportunities that the next evolution of the internet will bring to future technology and an everyday living experience tomorrow.”
To confirm that the translations are high quality, Meta also created a new evaluation dataset, FLORES-200, and measured NLLB-200’s performance in each language. Results revealed that NLLB-200 exceeds the previous state of the art by an average of 44 percent.
Meta is also open-sourcing the NLLB-200 model and publishing a slew of research tools to enable other researchers to extend this work to more languages and build more inclusive technologies. Meta AI is also providing up to $200,000 of grants to non-profit organizations for real world applications for NLLB-200.
There are versions of Wikipedia in more than 300 languages, but most have far fewer articles than the 6+ million available in English. Following Meta’s partnership with the Wikimedia Foundation, the non-profit organization that hosts Wikipedia and other free knowledge projects, modelling techniques and learnings from the NLLB research are now also being applied to translation systems used by Wikipedia editors. Using the Wikimedia Foundation’s Content Translation Tool, articles can now be easily translated in more than 20 low-resource languages (those that don’t have extensive datasets to train AI systems), including 10 that previously were not supported by any machine translation tools on the platform.
To explore a demo of NLLB-200 showing how the model can translate stories from around the world, visit here. You can also read the research paper here.
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