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Source channel @githubtrending · Post #15271 · Nov 5

#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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Crypto M - Crypto News

@CryptoM · Post #65305 · 04/12/2026, 06:10 PM

🚀 CMDSS Employee Accused of Misappropriating $46 Million in Seized Digital Assets A federal indictment has been filed against John Daghita, an employee of CMDSS, accusing him of transferring approximately $46 million in seized digital assets from U.S. Marshals Service (USMS) wallets to wallets under his control. According to NS3.AI, Daghita was apprehended by French Gendarmerie officers on March 4 in Saint Martin. Prosecutors allege that these unauthorized transfers took place in December and January. The case has reignited concerns previously raised by the Department of Justice (DOJ) inspector general and industry participants regarding the vulnerabilities in the USMS's crypto custody controls, procurement processes, and audit systems. These issues highlight the need for improved security measures and oversight in handling digital assets. #CMDSS#JohnDaghita#USMS#digitalassets#crypto#seizedassets#fraud#misappropriation#federalindictment#FrenchGendarmerie#NS3AI#DOJ#cryptosecurity#vulnerabilities#audit#procurement#oversight