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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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Crypto M - Crypto News

@CryptoM · Post #65190 · 04/11/2026, 06:14 PM

🚀 Pavel Durov Highlights Privacy Risks of Push Notifications Pavel Durov has raised concerns about the privacy implications of push notifications. According to NS3.AI, Durov pointed out that message data can persist in notification logs, posing a privacy risk even after messages or apps are deleted. He referenced a report by 404 Media, which revealed that the FBI was able to retrieve deleted Signal messages from an Apple iPhone by accessing these notification logs. #PavelDurov#Privacy#PushNotifications#DataSecurity#Signal#iPhone#FBI#DigitalPrivacy#NotificationLogs#CyberSecurity