Show HN: Yansu, Serious Coding
🌳Git
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Balancing Cost, Power, and AI Performance
oreilly.com·1d
🚀Performance
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Engineering.ai: A Platform for Teams of AI Engineers in Computational Design
arxiv.org·1d
🎭Program Synthesis
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Deep recurrent-convolutional neural network learning and physics Kalman filtering comparison in dynamic load identification
arxiv.org·1d
🧠Machine Learning
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Unlocking Logic's Secrets: BoolSkeleton – Streamlining Boolean Networks for Peak Performance by Arvind Sundararajan
🧮SMT Solvers
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Learning a Distance for the Clustering of Patients with Amyotrophic Lateral Sclerosis
arxiv.org·23h
🧮Vector Databases
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AI Progress Should Be Measured by Capability-Per-Resource, Not Scale Alone: A Framework for Gradient-Guided Resource Allocation in LLMs
arxiv.org·1d
📱Edge AI
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Feature-Guided Analysis of Neural Networks: A Replication Study
arxiv.org·1d
🧠Machine Learning
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ReLaX-Net: Reusing Layers for Parameter-Efficient Physical Neural Networks
arxiv.org·1d
🔥PyTorch
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Dynamic Foveation Allocation via Reinforcement Learning for Perceptual Quality Maximization in VR Rendering
🎯Reinforcement Learning
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QuPCG: Quantum Convolutional Neural Network for Detecting Abnormal Patterns in PCG Signals
arxiv.org·23h
⚛️Quantum Computing
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