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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 #3796 · 01/05/2025, 10:00 AM

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Funding Rounds and Crypto Insights 🔍Funding Highlights: 1️⃣Equator - $5M round focused on climate transition in Sub-Saharan Africa. 2️⃣Jentic Technology - $4.14M round for AI integration with APIs. 3️⃣Flint - $2M round inspired by nature. 4️⃣Neovici - $997.05K round for AI in finance. 5️⃣Sushidata - $150K round for user feedback analysis across platforms. ✨Michael Saylor plans to burn his Bitcoin after death, raising concerns among investors. 📈Holdstation sees over $10M in trading volume on ZKSync, expanding to Berachain. 📊Deribit reports strong BTC performance and ETF inflows. Full reports: ZKSync, Deribit Insights #Funding#Equator#Jentic#Flint#Neovici#Sushidata#MichaelSaylor#Bitcoin#BTC#Crypto#Trading#AI#Finance#ETFs#ZKSync#Innovation#Investors#Tech#VC

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