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Huawei Ghana Successfully Released 10 Phones in 2019

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Huawei Mobile Ghana has had an amazing year with 10 new phone releases. The famous Y Series Family had 6 new model released this year and all performed amazing on the market.

Y7 Prime introduced the first stunning Dewdrop Display to Ghana. Y7 Prime 2019 which had 3+32GB featured in Sapphire Blue and Midnight Black. Later in the year, Y7 Prime 2019 New Edition featured a brown faux leather back with 64GB Storage. Both phones stayed under 900GHS most parts of the year, till date.

 

Y6 Prime 2019 and Y5 Prime 2019 also featured in a Brown and Black Faux Leather Back. Y6 Prime 2019 currently selling under 700GHS was also packed with amazing features. Y5 Prime 2019 also selling hot under 600GHS. Both phones featured in Android EMUI 9.

 

The Y9 Prime 2019 featured a unique dividing line that made this design standout from the rest. On the smooth back, the special silk texture shimmers under the light. The first Pop-Up Camera in Ghana, the 16 MP AI front camera offers real-time image optimizing in 8 scenes and will intelligently adjust the retouching intensity. It has 3 rear cameras, including a 16 MP main camera for bright and clear photos. Y9 Prime 2019 which sold out after the first 2 weeks of its launch is still selling hot under 1300GHS.

The later part of 2019 saw the introduction Huawei Y9s which sold out under 4 Hours on its first sales day. Selling hot at 1499GHS, Y9s is currently available in two stylish finishes, Midnight Black and Breathing Crystal. The bright and clear glass back panel connects with sophisticated 3D Arc designed middle frames, creating a delicate and fashionable look. It features an Ultra-wide angle, 48MP Triple AI Camera, Big-screen view brought by a 6.59-inch Ultra FullView Display, 6GB + 128GB large storage and 4000mAh big battery.

 

Huawei Mobile Ghana didn’t only release phones under the Y Series, it also introduced the P30 Series which includes P30 Lite, P30 Lite New Edition, P30 and the P30 Pro. See below the full list of phones and their prices.

 

2019 ModelsPrice
Y5 Prime 2019GHS 549
Y6 Prime 2019GHS 699
Y7 Prime 2019GHS 839
Y7 Prime 2019 – 64GBGHS 889
Y9 Prime 2019  GHS 1,299
Huawei Y9s  GHS 1,499
P30 Lite (Sold Out) 
P30 Lite-64GB  GHS 1,519
P30  GHS 4,049
P30 Pro  GHS 4,199

 

We have seen incredible and innovative phones from Huawei this year and can’t wait for 2020. Which Model are you currently using and which model looking forward to in 2020?

 

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How to Be More Confident on Camera as a Youtuber

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CONFIDENCE is very important. The more confident you appear, the more viewers will listen to you. (more…)

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Graduate who went viral for begging for a job with a placard says he’s received 50 offers since

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Isaac Kwame Addae, a young unemployed graduate who took to the streets with a placard, looking for a job, says he  has been offered opportunities by at least  50 different firms. (more…)

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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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I single-handedly popularized Shea Butter in the United States – Margaret Andega

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According to Margaret Andega, a Kenyan entrepreneur in Atlanta, she was the driving force behind the commercialization of Shea Butter in the US during the late 90s. (more…)

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Ludwig Nii Jr urges information sharing in the creative space

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Ludwig Nii Jr urges information sharing in the creative space. (more…)

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How are CBD Flowers and CBG Flowers Different?

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CBG flower and CBD flower are two types of flowers that are used for their respective health benefits. CBD flowers are known for their calming and relaxing effects, while CBG flowers are known for relieving pain and inflammation.  (more…)

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