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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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Environment & Climate Change

@Enviro_Climate · Post #372 · 09/18/2021, 01:21 PM

Sea Secrets - Arash Sharifi Arash Sharifi, a Ph.D. candidate of marine geology and geophysics at the UM Rosenstiel School, takes us into the compelling world of #paleoclimate research. By using climate, #historical, and #archeological records, Sharifi shows how climate change has been affecting the world since the beginning of human #civilization. @Enviro_Climate https://youtu.be/ovy-57jx85Q?t=3