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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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Crypto M - Crypto News

@CryptoM · Post #64458 · 04/09/2026, 01:01 AM

🚀 Michael Saylor Suggests Bitcoin May Have Bottomed, Downplays Quantum Computing Risks PANews posted on X (formerly Twitter). Michael Saylor, founder and executive chairman of MicroStrategy, expressed at a Mizuho event that Bitcoin likely reached its bottom near $60,000 in early February. He attributed this bottoming more to a depletion of sellers rather than valuation factors. Saylor noted that current selling pressure is limited, with ETF inflows absorbing daily supply and corporations allocating treasury assets to Bitcoin, which sustains demand. Regarding the recent discussions on the threat of quantum computing, Saylor believes the risks are overstated. He stated that the threat remains theoretical and may not need to be addressed for several decades, by which time solutions will likely be available. #MichaelSaylor#Bitcoin#Bottomed#QuantumComputing#ETFInflows#Cryptocurrency#MicroStrategy#Blockchain#TreasuryAssets#CryptoDemand#BTC