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Source channel @githubtrending · Post #15239 · Oct 21

#python#artificial_intelligence#cloud_ml#computer_systems#courseware#deep_learning#edge_machine_learning#embedded_ml#machine_learning#machine_learning_systems#mobile_ml#textbook#tinyml You can learn how to build real-world AI systems from start to finish with an open-source textbook originally from Harvard University. It teaches you not just how to train AI models but how to design scalable systems, manage data pipelines, deploy models in production, monitor them continuously, and optimize for devices like phones or IoT gadgets. This helps you become an engineer who can create efficient, reliable, and sustainable AI systems that work well in practice. The book offers hands-on labs, community support, and free online access, making it easier to gain practical skills in machine learning systems engineering. https://github.com/harvard-edge/cs249r_book

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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