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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 #64491 · 04/09/2026, 03:01 AM

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🚀 Bitcoin Developer Adam Back Addresses Quantum Computing Concerns Bitcoin developer Adam Back has dismissed fears of a quantum computing crisis, asserting that humanity has at least a decade to prepare. According to Bitalk News, Back emphasized that current quantum hardware is still in its infancy, lacking error correction capabilities, and has only achieved basic calculations such as elementary-level factorization. He noted that Google's recent paper merely improved algorithms without any hardware breakthroughs. Back reassured that Bitcoin has ample time to adapt, with Liquid serving as a Layer 2 testing ground that has historically been adopted by the Bitcoin main chain after new signature formats were introduced. He argued that genuine solutions are already in progress, and that media-driven panic is more about selling headlines than reflecting technical realities. #Bitcoin#AdamBack#QuantumComputing#BitcoinDeveloper#Liquid#Layer2#SignatureFormats#ErrorCorrection#QuantumHardware#BitalkNews#Panic#TechnicalRealities#BTC

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