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Mensah Otabil, Ameyaw Debrah, Akuffo Addo & more nominated for 7th Annual Ghana’s Most Influential Awards

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gmi nomias24 1Voting for the much-anticipated Ghana’s Most influential (GMI) Awards has been opened, organizers have said. Ghana’s Most Influential (GMI) Awards is a unique initiative powered by e.TV Ghana. Over the years, the GMI list has consisted of people from both formal and informal sectors, ranging from entrepreneurs, politicians, musicians, sports personalities, religious leaders and several others. According to organizers, the voting process comes after the general public nominated numerous individuals in Ghana to be part of this great initiative. This period will allow the general public to vote for individuals -whose names had earlier been submitted- who they think influenced them positively in 2017. Speaking on the GMI voting process, Chief Executive Officer of Global Media Alliance Group, Mr. Ernest Boateng urged the general public to get involved and vote for individuals who are performing excellently in their fields and positively impacting society from all parts of the country. “The anticipation for this years’ GMI is extremely high and it means that the voting process is going to be very competitive. Voting for the 7th Edition of Ghana’s Most Influential of the starts on April 10 and ends on May 10, 2018,” Mr. Boateng stated. To vote for your most influential personality, text ‘GMI’ and name of that influential Personality who appeared on the nomination list to the short code 1446 on MTN, AirtelTigo and Vodafone. Visit www.etvghana.com for more information. Below is full nomination list: Abedi  Ayew Pele Abrantie Amakye Dede Ace Ankomah Agya Koo Akwasi Appiah Alhaji Adamu Iddrisu Ameyaw Debrah Anas Aremeyaw Anas Anita Erskine Apostle Dr. Ing Kwadwo Safo Archbishop Duncan Williams Asamoah Clement Asamoah Gyan Awulae Attibrukusu  III Azumah Nelson Ben Nunoo Mensah Bernard koku Avle Bishop Charles Agyin Asare Bishop Charles Palmer Buckle Bishop Dag Heward Mills Bishop Emmanuel Asante Bishop Gideon Yoofi Titi Ofei Boakye Agyarko Catherine Afeku Charles Kwadwo Fosu (Daddy Lumba) Charles Nii Armah Mensah Jnr (Shatta Wale) Courage Christine Tetteh Dag Heward Mills Dan Botwe Daniel Koranteng Daniel Mckorley(Macdan) Dcop Kofi Boakye Deloris Frimpong Manso Derrick Kobina Bonnet( DKB) Dr. Edward Mahama Dr. Ekwow Spio –Gabrah Dr. Else Effah Kauffman Dr. Kwesi Aning Dr. Mahamudu Bawumia Dr. Mathew opoku Prempeh Dr. Nobel Prince-Joseph Ayiku Dr. Paa Kwesi Nduom Ebo Whyte Edward Boateng Edward Effah Edward Kwaku Asare Yeboah(Ekay) Edwin Nii Lante Vanderpuje Egbert Faibille Emmanuel Adu Sarkodee Emmanuel Ekow Effirim Francis Asenso Boakye Freddie Blay Frema Opare Gayheart Mensah Gifty Anti Godfried Boateng Haruna Idrrisu Jerry John Rawlings Joe Adda Joe Anokye Joe Mettle John Agyekum Kufour John Dramani Mahama John Jinapor John Peter Amewu Joselyn Dumas Julius Karl D. Fieve Ken Ofori Atta Kenneth Ashigbey Kidi King Promise Kofi Annan Kofi Nti Kojo Addae Mensah Kojo Oppong Nkrumah Kuame Eugene Kwadwo Nkansah lil win Kwaku Sakyi Addo Kwame A Plus Kwame Sefa Kayi Kwasi Twum Kweku Baako Kweku Sintim Misa Kwesi Nyantakyi Kwesi Pratt Lawyer Francis Xavier Sosu Livingstone Etse Satekla (Stonebowy) Lord Commey Lordina Mahama Lydia Forson Manasseh Azure Martin Amidu Michael Owusu Addo (Sarkodie ) Mike Nyinaku Mustapha Hamid Mustapha Inusah MzVee Nana Addo Dankwah Akuffo Addo Nana Ama Mcbrown Nana Appiah Mensah Nana Kobina Nketsia V Nana Konadu Agyeman Rawlings Nana Prof. John S Nabila Nana Susubiribi Krobea Asante Nathaniel Anokye Adisi (Bola Ray) Nicholas Bortey Obrafour Okudjeto Ablakwa Okyeame Kwame Osagyefuo Amoatia Ofori Panyin Osei Kofi Acquah Osei Kwame Despite Otumfour Osei Tutu II Pastor Mensa Otabil Pat Thomas Patricia Poku-Diaby Patrick Awuah Patrick Collins Frimpong Patrick osei agyeman songo PAUL ASARE ANSAH Peter Mac Manu Prince Kyei Baffour Prince Sena Toffi Switzboiz Prof Francis Dodoo Prof. Bediako kwame Daniel Prof. Josuah Alabi Prophet Gideon Danso Rebecca Akufo Addo Rev Joyce Aryee Rev Owusu Ansah Rev. Eastwood Anaba Rev. Father Cambell Rev. Nana  Yaw  sarfoh Reverend Steve Atta Kofi Mensah Richard Yinkah Sam Ato Gaisie Samira Bawumia Sammi Awuku Sheikh Nuhu Sharabutu Slyvester Mensah Togbe Afede XIV Tony Oteng Gyasi Ursula Owusu Yvonne Nelson  ]]>

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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.

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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