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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 #65220 · 04/12/2026, 04:08 AM

🚀 Google Quantum AI Reduces Resources Needed to Break Bitcoin Signatures Google Quantum AI research has significantly reduced the estimated resources required to break Bitcoin's ECDSA signatures by approximately 20 times. According to NS3.AI, this advancement places the theoretical threshold near 500,000 physical qubits. The primary risk is associated with transaction signing and addresses with exposed public keys, rather than Bitcoin mining or the entire blockchain. #Google#QuantumAI#Bitcoin#ECDSA#Cryptography#Qubits#Cybersecurity#Blockchain#BTC