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Source channel @githubtrending · Post #15124 · Sep 6

#rust#blockchain#fhe#privacy FHEVM by Zama lets you create smart contracts on Ethereum-like blockchains that keep all data fully encrypted and private while still running normally. It uses Fully Homomorphic Encryption (FHE) so computations happen on encrypted data without revealing it. This means your transactions, balances, votes, or game moves stay secret but verifiable. You can write these contracts in Solidity like usual, with no need to learn complex cryptography. FHEVM is fast, secure against quantum attacks, and works with existing apps. This helps you build private DeFi, auctions, voting, and more, protecting sensitive info on public blockchains. It makes blockchain apps more secure and private without losing functionality. https://github.com/zama-ai/fhevm

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@githubtrending · Post #15271 · 11/05/2025, 12:30 PM

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#cplusplus#arm#baidu#deep_learning#embedded#fpga#mali#mdl#mobile#mobile_deep_learning#neural_network Paddle Lite is a lightweight, high-performance deep learning inference framework designed to run AI models efficiently on mobile, embedded, and edge devices. It supports multiple platforms like Android, iOS, Linux, Windows, and macOS, and languages including C++, Java, and Python. You can easily convert models from other frameworks to PaddlePaddle format, optimize them for faster and smaller deployment, and run them with ready-made examples. This helps you deploy AI applications quickly on various devices with low memory use and fast speed, making it ideal for real-time, resource-limited environments. It also supports many hardware accelerators for better performance. https://github.com/PaddlePaddle/Paddle-Lite

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