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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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AI & Law

@ai_and_law · Post #369 · 08/07/2024, 07:04 AM

AI Music Startups Defend Fair Use Amid Copyright Lawsuits AI music startups Suno and Udio are pushing back against copyright infringement lawsuits from major record labels, claiming their methods fall under fair use. They argue that their AI models, trained on copyrighted music, encourage innovation and competition within the industry. The Recording Industry Association of America (RIAA) filed lawsuits in June, accusing Suno and Udio of massive unlicensed copying. The startups assert that using sound recordings to teach AI models new musical patterns aligns with copyright law's intent to foster new artistic expressions. They contend that their practices are akin to learning and not infringing. In defense, Suno likened their training approach to a child learning to create new music by listening to existing tracks. Both companies maintain that major labels misunderstand the technology and are attempting to stifle competition. The RIAA, however, argues that the startups have failed to obtain proper consent for using copyrighted works, threatening the livelihoods of original artists. #AI#CopyrightLaw#FairUse#LegalTech#AIandLaw#RIAA#ArtificialIntelligence