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Source channel @githubtrending · Post #14659 · May 1
#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
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@singsingchannel · Post #1127 · 12/23/2024, 07:11 AM
🔥 Another 121,343 $SING has been burned! 🔥 💨 Reducing supply, increasing value—step by step, we're building a stronger $SING ecosystem. ✔️Check out details: https://bscscan.com/tx/0xb3fac74c5744b68eee62ffa0efbdbe909ec4e719c2b644315a082c32a3aa9634 Stay tuned for more updates! 🚀 #SingSing#TokenBurn#Deflation
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@venturevillagewall · Post #4114 · 02/10/2025, 01:00 PM
Ethereum: Potential Shift to Trustworthy Money Ethereum could become ‘ultra-secure’ money as supply decreases, claims developer Justin Drake. Post-Dencun, emissions stats: 657,000 BTC vs. 469,000 ETH ($63.4B vs. $1.23B). Bitcoin miners rely on crypto mining; commission share at only 1%. Safety concerns may arise as mining becomes less viable. Halvings could worsen security issues. Read more: ForkLog #Ethereum#Bitcoin#Crypto#Mining#Finance#Deflation#JustinDrake#Dencun#ETH#BTC#Blockchain#Investing#Decentralization#PoS#Halving#Security#MarketTrends#Emissions#DigitalAssets#RiskManagement#Cryptocurrency