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Huawei Y9s, another entry-level smartphone giving other high-end phones a tough competition

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Huawei Y9s

Huawei has released another competitive entry-level smartphone, HUAWEI Y9s. The Huawei Y9s features an iconic pop-up front camera design that allows for a true full-view display experience, just like the best-selling HUAWEI Y9 Prime 2019, another entry-level smartphone that Huawei released in the first half of 2019. However, HUAWEIY9s features an upgraded Triple AI camera setup. Meanwhile, Huawei Y9s uses AI algorithms to provide smart optimization, delivering an amazing photo and video shooting experience.

Which triple camera solution is Huawei Y9s using?

Today, while most entry-level smartphones in the market use a triple rear camera design, the Y9s uses a very practical combination which includes an ultra HD 48MP Main Camera, an 8MP Ultra-Wide Angle Camera and a 2MP Depth Camera. The high resolution 48MP Main Camera with an f/1.8 aperture is not only capable of producing high resolution images, but its 1/2-inch sensor can support improved light sensitivity that benefits low light photography. In terms of software, Huawei Y9s uses the AI-assisted Multi-frame Noise Reduction helping users to take great night photos by handheld long exposures of up to six seconds.

The 8MP Ultra Wide Angle Camera supports video recording and photo shooting from an ultra wide field of view. This allows users to capture more scenes: group photos, city view and nature scenes, Huawei Y9s enables the user to put almost everything into the frame. Meanwhile, the 2MP Depth Camera can create delicate bokeh effects just like a wider aperture camera does, which is particularly perfect for portrait pictures. In addition, Huawei Y9sfeatures 480fps slow motion video, while its Electronic Image Stabilisation (EIS) effectively helps users to shoot smooth and stable videos. Day and night, Huawei Y9s’s triple rear camera can meet users’ needs for recording photos and videos in various scenarios.

Record wonderful moments anytime, anywhere

HUAWEI Y9s Sample Photo

HUAWEI Y9s Sample Photo

HUAWEI Y9s Sample Photo

HUAWEI Y9s Sample Photo

The picture above is taken with HUAWEI Y9s’s Night Mode. By using AI algorithms, Stark Plus applies Multi-frame Noise Reduction for night photos, to increase the HDR dynamic range and brightens the dark part of the pictures. You may notice the photos are clear and sharp. The HUAWEI Y9s continues Huawei’s tradition of bringing the best possible quality night photography and stands out from other products under the same price range.

 

Shooting photos at the same position, with the Ultra Wide Angle Mode switched on, can have very different outcomes. It offers almost two times wider perspective than the traditional camera, to include more content in the frame. In addition, the Y9s’s wide-angle effects are so amazing that both sides of the photo are not distorted.

 

Of course, besides the triple rear camera, HUAWEI Y9s’s front camera can take great selfies. With a resolution of 16MP, the pop-up front camera supports AI Intelligent Backlight Imaging technology, AI Scene Recognition and AI Beauty, helping users to take clear and stunning selfies no matter in backlight or side light.

 

What’s also worth mentioning is that the front camera is very robust. Extended, the camera can hold a weight of up to about 15kg while retaining full functionality. It also features Smart Drop Protection, which enables the device to quickly retract the camera upon detecting a fall – especially useful when the user is taking a selfie.

 

So, who says entry-level smartphones can’t take high quality photos? The HUAWEI Y9s is the one for you! Other than the impressive 6.59” Ultra FullView Display, Stark Plus comes with a standard 6GB+128GB storage and is powered by Kirin 710F. Thanks to EMUI 9.1’s system-level software optimisation, the operation fluidity is further improved. Lastly, Huawei Y9s also features the latest GPU Turbo3.0 graphic processing acceleration technology that Huawei applied on flagship series to offers great gaming experience. Huawei Y9s is amazing and affordable with high values. It’s definitely a good smartphone that you should have or buy for someone!

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People & Lifestyle

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.

Read Also: Impressive! Ghanaian Rapper Dr. Pushkin Releases New App & Book ahead of “Outlandish” Album

“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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