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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 #64769 · 04/09/2026, 09:03 PM

🚀 Quantum Safe Bitcoin Proposed to Resist Quantum Attacks Avihu Levy has introduced a concept called Quantum Safe Bitcoin, which is a hash-based transaction design intended to withstand quantum computing attacks. According to NS3.AI, this proposal seeks to enhance Bitcoin's security without altering its fundamental rules. The estimated cost for implementing this design using cloud GPU computing ranges from $75 to $150. However, the complete transaction assembly and broadcast have yet to be demonstrated on the blockchain. #QuantumSafeBitcoin#Bitcoin#QuantumComputing#Blockchain#Cryptocurrency#CyberSecurity#DigitalCurrency#CryptoInnovation#BTC