Machine Scheduler in LLVM – Part II
💾Register Pressure
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Multi-segment flexibility-based optimization scheduling for integrated energy systems coupled with electric and hydrogen fuel cell vehicles
sciencedirect.com·18h
🧩SAT Solvers
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Equation Discovery, Parametric Simulation, and Optimization Using the Physics-Informed Neural Network (PINN) Method for the Heat Conduction Problem
arxiv.org·2d
🌱Minimal ML
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A mathematical certification for positivity conditions in Neural Networks with applications to partial monotonicity and Trustworthy AI
arxiv.org·2d
🔍ML Language
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Improving in chess is hard. I built the world's most accurate human-like chess AI to help me.
🌱Minimal ML
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Quantum-Resistant Federated Learning with Homomorphic Encryption for Medical Imaging Diagnostics
💫Effect Systems
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🚀 Exploring Go’s Core Features in Depth
🐹Go Internals
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AI and Data Virtualization: A Symbiotic Relationship For Smart Data Management
↔️Bidirectional Sync
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Building a Self-Improving RAG System with Smart Query Routing and Answer Validation
💬Interactive REPLs
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Enhancing Solar Cell Efficiency Through Stochastic Grain Boundary Passivation Optimization
✨Effect Inference
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I built Solveig, it turns any LLM into an assistant in your terminal. Think Claude Code with trust issues
📚Self-Documenting Code
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Pipeline RUL prediction method that considers the coupling of multiple corrosion factors: Integrating deep learning and stochastic processes
sciencedirect.com·48m
🔮CPU Branch Prediction
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From Classical Models to AI: Forecasting Humidity for Energy and Water Efficiency in Data Centers
towardsdatascience.com·1h
🚂Error Propagation
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LLaMAX2: Your Translation-Enhanced Model also Performs Well in Reasoning
🌱Tiny Languages
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