Reverse-Engineering Vercel: The Go-to-Market Playbook That Won the Frontend
🌐Web Development
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Shannon’s Principle in IoT: Lessons from the Field
blog.devops.dev·22h
📊Information Theory
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Meta’s SPICE framework lets AI systems teach themselves to reason
venturebeat.com·8h
💬Prompt Engineering
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Human Motion Intent Inferencing in Teleoperation Through a SINDy Paradigm
arxiv.org·1h
🤖Robotics
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Fine-Tuning Diffusion-Based Recommender Systems via Reinforcement Learning with Reward Function Optimization
arxiv.org·1d
🎯Reinforcement Learning
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Towards Optimal Constellation Design for Digital Over-the-Air Computation
arxiv.org·1d
📊Information Theory
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Versatile and Risk-Sensitive Cardiac Diagnosis via Graph-Based ECG Signal Representation
arxiv.org·1h
🧠Machine Learning
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NOTAM-Evolve: A Knowledge-Guided Self-Evolving Optimization Framework with LLMs for NOTAM Interpretation
arxiv.org·1h
💬Prompt Engineering
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Introducing the external secrets operator for OpenShift
developers.redhat.com·22h
🔌gRPC
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From Product Manager to AI Builder: What It Takes to Go from Prompt to Production
🎨Design Systems
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Automated Fault Injection & Resilience Validation in Embedded Systems via Reinforcement Learning
🏗️Cranelift
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Smart Chips, Steady Power: Boosting AI Performance with Voltage Drop Prediction
🔌Embedded Systems
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From Notebook to Production: A Pragmatic Playbook for Developers Who Ship
🎨Design Systems
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Confidence-Guided Stepwise Model Routing for Cost-Efficient Reasoning
arxiv.org·1d
🚀MLOps
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