#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
TON — LIVE: Telegram Rises in Popularity Rankings
#Telegram#apps
The channel TON — LIVE reports that Telegram has moved up one rank in the list of the most popular apps for 2025.
Source: link
@tonlines
⚡️Trending Apps: New Voting System in Telegram Apps Center
#Telegram#Apps
Trending Apps announces that users can now influence the ranking of Mini Apps through a new voting system in the Telegram Apps Center. Active participants will be rewarded with exclusive SBTs and Telegram Gifts.
Source: link
@tonlines
⚡️Trending Apps: Upcoming Feature in Apps Center
#Telegram#Apps
Trending Apps announced a new feature in the Apps Center, aiming to enhance user engagement by allowing users to influence developments directly. This innovative approach is set to launch within the next 30 days, with more details to be revealed gradually.
Source: link
@tonlines
A partir de hoy amigos, estaré entregando #apps, recursos, plataformas y tips para usar la tecnología a su favor y mejorar las condiciones de #empleo📄📈