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Source channel @devilsbelow · Post #552 · Feb 16

🌐Weekly News Digest [ February 9 – February 15 ] Last week, the mining conference in Cape Town became the first high-level venue to criticize American expansion into Africa - but what else happened? 💡Here are the key highlights: 🇨🇩 DR Congo — South Africa’s Minister of Resources sharply criticizes his Congolese counterpart — Washington urged an Australian mining firm AVZ to sell its major lithium project to a US company 🇱🇾 Libya — Libya’s fails its first oil license auction in 17 years 🇲🇱 Mali — The Malian government establishes a new state-owned mining company — Mali approves a 10-year extension of Canadian gold miner's license 🇳🇪 Niger — Niger’s military repels an attack by MPLJ militants on Chinese oil facilities — Niger is ready to return the uranium confiscated from the French 🇳🇬 Nigeria — Nigerian company loses asset in Equatorial Guinea — Dangote Refinery reaches its design capacity for the first time — US lawmakers introduce a bill claiming that Chinese illegal miners are paying Fulani militant groups 🇿🇦 South Africa — Mining Indaba Conference concludes in Cape Town 🌍 Global — State Department reveals the US strategy for Africa #NewsDigest ➡️ Follow to stay informed - @devilsbelow

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@githubtrending · Post #14659 · 05/01/2025, 03:30 PM

#cplusplus#arm#convolution#deep_learning#embedded_devices#llm#machine_learning#ml#mnn#transformer#vulkan#winograd_algorithm MNN is a lightweight and efficient deep learning framework that helps run AI models on mobile devices and other small devices. It supports many types of AI models and can handle tasks like image recognition and language processing quickly and locally on your device. This means you can use AI features without needing to send data to the cloud, which improves privacy and speed. MNN is used in many apps, including those from Alibaba, and supports various platforms like Android and iOS. It also helps reduce the size of AI models, making them faster and more efficient. https://github.com/alibaba/MNN