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Source channel @githubtrending · Post #14659 · May 1

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#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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#cplusplus#arm#convolution#deep_learning#embedded_devices#llm#machine_learning#ml#mnn#transformer#vulkan#winograd_algorithm
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@cryptobull_360 · Post #49774 · 05/13/2026, 02:05 PM

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CryptoBull_360™

@cryptobull_360 · Post #48848 · 03/19/2026, 07:51 PM

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CryptoBull_360™

@cryptobull_360 · Post #48430 · 02/18/2026, 01:33 PM

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🗽👀#HYPE Hyperliquid created the “Hyperliquid Policy Center” with the goal of developing a legal mechanism for widespread adoption of DeFi in the United States.

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@cryptobull_360 · Post #48232 · 02/11/2026, 12:17 PM

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✏️#HYPE Hyperliquid Strategies reports profit, acquired 5 million HYPE for $129.5 million at a price of $25.9 per token, leaving the company with $125 million.

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