#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
🎯🎯Excellent 28% Profit on #KERNEL/USDT for all Premium Members
🚀🚀It has crossed all the targets
👁🗨Contact @futurechief to enter the premium group & make daily gains
📰 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