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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 #65049 · 04/10/2026, 04:29 PM

🚀 Securitize's Potential Market Impact Highlighted by Benchmark Securitize is poised for significant growth as it prepares to go public through a merger with Cantor Equity Partners II, trading under the ticker SECZ. According to NS3.AI, Benchmark has reiterated a $16 price target for SECZ, emphasizing that capturing just one basis point of the approximately $44 trillion market value of NYSE-listed companies could more than double Securitize's current platform assets, which are roughly $4 billion. #Securitize#MarketImpact#IPO#CantorEquityPartners#SECZ#NS3AI#Benchmark#NYSE#Finance#Investment#StockMarket#Growth