#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
🪐 Astronomers used an exploding star, supernova SN 1987A in the Large Magellanic Cloud (about 168,000 light-years away), to precisely measure the speed of light across vast space. Light and ghostly particles called neutrinos from the explosion reached Earth just hours apart, providing real proof that even over intergalactic distances, light always travels at the same constant speed—299,792 kilometers per second. ✨
#speedoflight⚡#supernova⚡#LargeMagellanicCloud⚡#nasa⚡#galaxy⚡#stars⚡#astronomy⚡#universe⚡#cosmos⚡#space
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🪐 In the Tarantula Nebula of the Large Magellanic Cloud, light from young, massive stars races outward at the universal speed limit—299,792 kilometers per second—helping illuminate vast clouds of gas across 1,000 light-years of space. Because nothing can travel faster than this speed in a vacuum, the glow we see from such stellar nurseries is always an echo from the past, showing us cosmic events exactly as they unfolded years, decades, or even millennia ago. ✨
#speedoflight⚡#tarantulanebula⚡#largemagellaniccloud⚡#nasa⚡#galaxy⚡#stars⚡#astronomy⚡#universe⚡#cosmos⚡#space
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