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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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Venture Village Wall 🦄

@venturevillagewall · Post #4283 · 03/02/2025, 04:00 AM

Ethereum's Pivotal Moment and Bybit Developments Tim Beiko marks a critical day in Ethereum history, reflecting on recent announcements balancing extremes. Meanwhile, the Bybit hacker resumes laundering efforts, with only 156,000 ETH left of the 499,000 ETH stolen, likely clearing in three days. Additionally, Crypto Flow Technology Limited raises HK$11.646 million to develop an on-chain data analysis platform and DEX aggregator. #Ethereum#Beiko#Bybit#Hacking#Crypto#Blockchain#DataAnalysis#DEX#TechNews#VC