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How exciting! Huawei’s new Ultra-High-Pixel Smartphone to be launched in Ghana soon

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Since its launch back in 2016, the HUAWEI nova Series has continued to defy expectations. As a range, it has always led the way for mid-range smartphones with serious photography capabilities and stunning design. Up till now, the HUAWEI nova Series’ global reach has extended to include markets in Asia-Pacific (APAC), Middle East and Africa, Europe and Latin America. Over the past five years, the HUAWEI nova Series has grown into a brilliant constellation of more than 10 products and is becoming increasingly popular among consumers. As of 22nd September 2021, the Series has accumulated more than 190 million users worldwide.

 

Last year’s HUAWEI nova 9 unveiled a new vision in photography, with a 50 MP ultra-vision camera and large sensor, taking in up to 40% more light, coupled with Huawei’s breakthrough XD Fusion software for impeccable clarity and results. Now, the technology giant has stirred up discussion and excitement in what it has set up for the upcoming iteration — the HUAWEI nova 9 SE.

HUAWEI nova 9

 

What’s next for nova?

You can expect the HUAWEI nova 9 SE to have a great set of cameras following the tradition of the previous nova Series phones. For the latest addition, it is likely to come with a powerful camera with larger pixel size. As larger pixels collect more light, the phone will be able to capture images with less noise and higher picture quality.

 

To deliver great battery life, the previous HUAWEI nova 9 adopted the 66W HUAWEI SuperCharge, which was very popular with users. As the latest iteration of the nova Series, perhaps the new nova smartphone will continue to feature a high-capacity battery and fast charging technology.

 

When it comes to design, it is safe to assume that the new smartphone will follow the eye-catching industrial design and dazzling CMF of the HUAWEI nova Series. So, do expect a sleek phone with a striking, trendy design. The HUAWEI nova 9 SE is likely to feature a thin and lightweight design with a comfortable to hold body.

 

One thing that you can be sure about is that the new smartphone will be running on EMUI 12, which offers a smart, easy and seamless experience to users. Moreover, the trusted, innovative, user-friendly, and secure AppGallery will be available on the HUAWEI nova 9 SE where users can easily navigate, explore, find and download a wide range of high-quality apps.

 

Setting a new standard for its smartphones

As Huawei continues to improve their already impressive imaging technology, it would allow the HUAWEI nova 9 SE to deliver the best in class picture quality. This would mean that no matter whether you are on a trip or simply recording your daily life, your photography experience will never be the same again. It really would be the ideal solution for budding social media influencers, young and old.  The phone is expected to be announced soon in Ghana.

 

Do follow the official social handles of Huawei Mobile Ghana for more updates.

Facebook : @Huaweimobilegh

Instagram: @Huaweimobilegh

Twitter  : @Huaweimobilegh

 

 

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People & Lifestyle

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Meta’s AI AI machine translation research helps break language barriers

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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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