New Images Reveal the Milky Way’s Stunning Galactic Plane in More Detail Than Ever Before
singularityhub.com·3h
🧬Genomics
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Someone Finally Built the BMW Z4 Coupe — Using a Toyota Supra
autoblog.com·21h
🦠Whole cell model
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From functional to artistic: 5 projects that showcase your 3D printer's versatility
xda-developers.com·17h
🦠Whole cell model
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Google Maps is getting an AI upgrade with these new Gemini-powered features
tweaktown.com·1d
🦆DuckDB
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New deep learning model enhances roadside air pollutant forecasting accuracy
phys.org·22h
🔥ComplexHeatmap
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Single-Cell Spatial Transcriptomics-Guided Morphogenetic Field Reconstruction in Early Human Embryonic Development
🗺️Spatial Transcriptomics
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Statistical imaging of NV centers reveals clustered defect formation in diamond
arxiv.org·1d
🔬Seurat
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Modeling Headway in Heterogeneous and Mixed Traffic Flow: A Statistical Distribution Based on a General Exponential Function
arxiv.org·1d
📊Empirical Bayes
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MoM: Mixtures of Scenario-Aware Document Memories for Retrieval-AugmentedGeneration Systems
🔢Embeddings
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Deep Learning-Driven Downscaling for Climate Risk Assessment of Projected Temperature Extremes in the Nordic Region
arxiv.org·13h
🔥ComplexHeatmap
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Dynamic Neuro-Network Resilience via Stochastic Gradient Amplification and Adaptive Sparsity (DNSAS)
⛰️Gradient Descent
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Fair and Explainable Credit-Scoring under Concept Drift: Adaptive Explanation Frameworks for Evolving Populations
arxiv.org·13h
📊Empirical Bayes
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A Unified Model for Human Mobility Generation in Natural Disasters
arxiv.org·2d
📦Compartmental Models
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Connectivity Structure and Dynamics of Nonlinear Recurrent Neural Networks
journals.aps.org·3d
⛰️Gradient Descent
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Bridging Vision, Language, and Mathematics: Pictographic Character Reconstruction with B\'ezier Curves
arxiv.org·3d
🗺️UMAP
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Automated Figure-Text Alignment & Knowledge Extraction for Scientific Literature
🔢Embeddings
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Optimizing Earth-Moon Transfer and Cislunar Navigation: Integrating Low-Energy Trajectories, AI Techniques and GNSS-R Technologies
arxiv.org·1d
⛰️Gradient Descent
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Chaos-inspired active learning for physics-informed neural networks to assess the reliability of multi-state systems
sciencedirect.com·2d
⛰️Gradient Descent
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