How Metal Is the Past?
margaretkilljoy.substack.com·6h·
Discuss: Substack
📜Medieval Computing
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All Hail The OC71
hackaday.com·1d
🔌Operating system internals
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Bridging Minds and Machines
ofcarbonandsilicon.substack.com·1d·
Discuss: Substack
🧠Neural Codecs
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Audio Frequency-Time Dual Domain Evaluation on Depression Diagnosis
arxiv.org·2d
📊Spectrograms
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AI-Driven Carbon Monitoring: Transformer-Based Reconstruction of Atmospheric CO2 in Canadian Poultry Regions
arxiv.org·1d
🧠Machine Learning
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Ancient tombs across China reveal how people lived and died over millennia
phys.org·14h
🏠Homelab Archaeology
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High-Throughput VCFET Characterization via Bayesian Optimization & Embedded AI
dev.to·11h·
Discuss: DEV
🔧Hardware Verification
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Principal and Combination Parametric Resonances of an Electromagnetically Suspended Vehicle subject to Base Excitation
arxiv.org·4h
⚙️Tape Mechanics
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Forecasting precipitation in the Arctic using probabilistic machine learning informed by causal climate drivers
arxiv.org·1d
🧊Arctic Storage
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This Wonder Material Could Revolutionize Renewable Energy
scitechdaily.com·5h
🌈Spectroscopy
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Part 1: Training a Neural Network to Detect Coffee First Crack from Audio - An Agentic Development Journey with Warp
dev.to·2d·
Discuss: DEV
🔍FLAC Forensics
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EddyFormer: Accelerated Neural Simulations of Three-Dimensional Turbulence at Scale
arxiv.org·1d
⚡Incremental Computation
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Machine Learning based Analysis for Radiomics Features Robustness in Real-World Deployment Scenarios
arxiv.org·4h
🧠Machine Learning
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The Limits of Data Scaling: Sub-token Utilization and Acoustic Saturation in Multilingual ASR
arxiv.org·2d
🎙️Whisper
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Information-Theoretic Discrete Diffusion
arxiv.org·1d
📡Information theory
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Unit-free theorem pinpoints key variables for AI and physics models
phys.org·12h
📊Quantization
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Seismology meets botany: Geologist applies vibration science to saguaros
phys.org·1d
🏺Computational Archaeology
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Diffusion-Driven Progressive Target Manipulation for Source-Free Domain Adaptation
arxiv.org·4h
📊Learned Metrics
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Algorithmic Choreography: Generative Sonic Landscapes via Neural Field Synthesis
dev.to·4d·
Discuss: DEV
🎧Learned Audio
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Bayesian Neural Networks vs. Mixture Density Networks: Theoretical and Empirical Insights for Uncertainty-Aware Nonlinear Modeling
arxiv.org·4h
🧠Machine Learning
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