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Source channel @githubtrending · Post #14659 · May 1

#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

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AI & Law

@ai_and_law · Post #132 · 10/06/2023, 07:04 AM

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Navigating AI Worries: Insights from the FTC Hello, dear subsribers! The U.S. Federal Trade Commission's Office of Technology has addressed consumers' growing concerns about artificial intelligence in a recent blog post. These concerns encompass the entire AI lifecycle, from its construction to its real-world use by third parties. Key issues highlighted include the extensive data collection necessary for training AI models and various aspects of users' interactions with AI systems. #AIandLaw#AIConcerns#FTC#ArtificialIntelligence

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