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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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@emagzinewspars · Post #9391 · 10/21/2025, 08:58 AM

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#The_Science🇺🇸📕[PDF]⬇️ 16 #October2025 #Weekly_Magazines For learning, for free(dom). @backupofmagazines This week’s Science dives deep into the frontiers of #Nanoscopy, visualizing neural circuits with stunning 3D precision. From Arctic #Permafrost preserving ancient RNA viruses to #Ant colonies evolving architectural immunity, the issue spans from the microscopic to the planetary. Groundbreaking work tracks #SeaLevel change over 4.5 million years and explores durable #Hydrogen production membranes and electric control in #2Dmaterials. The “#ColdStorage” feature warns of hidden viral archives in melting ice—a chilling insight into #ClimateScience and future pandemics. A visionary issue linking biology, chemistry, and global sustainability through the lens of innovation.

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