#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
🟢PEPE trading volumes surge 3X from start of May just days after ATH
⚡️Pepe’s price has slid 12% since reaching all-time highs, but trading volume has surged by 216%, indicating heightened interest from traders.
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👀Educational content, charity and newcomer-friendly tools: An insightful look into the inner workings of a global crypto exchange.
🛡Learn how BingX diverse trading options can help you manage risks and capitalize on opportunities.
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⚡️💰Ethereum ETFs — 3 pitches that could hook Wall Street
✔️Ethereum is already home to the world’s largest DeFi protocols, tokenized RWAs, and stablecoins, but its technical roadmap could be hard for TradFi to understand.
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❗️Crypto news in the past 24 hours:
🔄 Memecoin mania sees Cardano knocked out of the top 10 crypto rankings
📈 Crypto market to hit $200T within 10 years — Animoca co-founder
😮 Iggy Azalea’s MOTHER memecoin triumphs over scandal-ridden IGGY
🔝 Cristiano Ronaldo unveils NFT series with Binance capturing career highlights
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