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# GalsenAI |
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GalsenAI is a community initiated by Artificial Intelligence (AI) enthusiasts for the purpose of building and popularizing a powerful and productive AI ecosystem for West Africa. |
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It aims to set up a platform for intellectual exchange, popularization and learning on any topic revolving around AI (Artificial Intelligence), Big Data or IoT (Internet of Things). |
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It organizes Conferences, Meetups, Workshops, Hackathons, Certification Training and initiates __Data Collection and Research Projects__ around AI and Machine Learning through the __GalsenAI Lab__. |
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# GalsenAI Lab |
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The GalsenAI Lab is GalsenAI's Research and Development (R&D) arm. It focuses on projects involving __Data Collection__, __Machine Learning model design__ and __Scientific Publications__ in the following areas: |
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* __Natural Language Processing for African languages__ in general and Senegalese languages in particular; |
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* ML applied to Geospatial Data ; |
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* Computer Vision for African challenges; |
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* ML applied to Health in Africa. |
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> Currently, the team is focused on `NLP for African languages` and `ML applied to Geospatial Data`. We remain open to initiating working groups in the remaining areas. Feel free to send a joining request or contact us via contact@galsen.ai if interested. |
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# Our Vision |
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OpenAI has achieved a major milestone in popularizing Artificial Intelligence worldwide with its ChatGPT conversational agent. |
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This is a practical application of NLP, and we're convinced that, more than anywhere else in the world, __the breakthrough of AI in Africa will necessarily happen through language processing__. |
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> __That's why we're aiming to make NLP for African languages the continent's most powerful vector for digital inclusion.__ |
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The Lab also aims to be at the heart of AI R&D in Senegal and Africa. It thus intends to expand into other relevant fields beyond NLP to help solve Africa's most pressing problems through an __open__, __inclusive__ and __participatory__ approach. |
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# Participatory Research and Open Science |
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We believe that research should not be restricted to the academic world. People with a wide variety of backgrounds could be extremely valuable in specific components of a research project. |
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The African context, which is moreover characterized by highly difficult resource access (financial, human, computing, storage, data...), constitutes a context in which open and participatory science offers a promising response to research development. |
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> Alone we go faster, but together we go further! |
