#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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📰 FRANK OS 1.0 Launches With a Retro Windows 95-Like Desktop
FRANK OS 1.0 debuts with a windowed desktop inspired by Windows 95, running on RP2350 microcontrollers using the FreeRTOS kernel.
🔗 Source: https://linuxiac.com/frank-os-launches-with-a-retro-windows-95-like-desktop/
#kernel
📰 FreeBSD's Rust Kernel Support Could Be Stable Enough To Try This Year
The FreeBSD Project has published their Q4'2025 status report to outline progress made on their software, infrastructure, and other initiatives over the past quarter. Meanwhile among the work to look forward to this year in FreeBSD is getting their Rust kernel driver support up to scratch...
🔗 Source: https://www.phoronix.com/news/FreeBSD-Q4-2025-Status-Report
#kernel