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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 #200 · 12/26/2023, 08:04 AM

FTC bans Rite Aid from using AI facial recognition in stores for 5 years Hello everybody! The US Federal Trade Commission (FTC) has barred American drugstore giant Rite Aid from utilizing AI facial recognition technology for surveillance purposes over the next five years. The FTC intervened as Rite Aid allegedly "failed to implement reasonable procedures" in deploying facial recognition across 200 stores over eight years. Rite Aid's facial recognition system, designed to identify past shoplifters, resulted in numerous false positives. Tens of thousands of individuals were included, often with low-quality images from various sources, leading to unwarranted confrontations and police interventions, disproportionately impacting people of color. Rite Aid is mandated to delete collected images, algorithms, and related products, notify consumers, enhance data security measures, and provide clear notices regarding any biometric surveillance technology in stores. Rite Aid, while agreeing to the FTC settlement, expressed fundamental disagreement with the facial recognition allegations. The company halted the technology's use three years prior to the FTC investigation and commits to fortifying information security practices. #AILaw#PrivacyRights#FacialRecognition#FTC#RiteAid#LegalTech