Digital Twins: the missing pieces we can solve with Machine Learning
🗺️Manifold Learning
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Using Machine Learning in CAD to Detect Design Flaws Before They Become Costly
⛰️Gradient Descent
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Wave-Particle (Continuous-Discrete) Dualistic Visual Tokenization for Unified Understanding and Generation
arxiv.org·2d
🗺️UMAP
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A high-resolution large-scale dataset for building segmentation from aerial imagery in northeastern Italy
nature.com·2d
🔥ComplexHeatmap
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Posterior corrections for systematic distortions in atomic-resolution images from hexagonal crystals
arxiv.org·1d
🗺️Network Visualization
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Bio-Inspired Neuron Synapse Optimization for Adaptive Learning and Smart Decision-Making
arxiv.org·2d
⛰️Gradient Descent
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A Cognitive Process-Inspired Architecture for Subject-Agnostic Brain Visual Decoding
arxiv.org·1d
🗺️UMAP
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Digitizing Spermatogenesis Lineage at Nanoscale Resolution In Tissue-Level Electron Microscopy
arxiv.org·6h
🗺️Spatial Transcriptomics
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grafana/mimir
github.com·9h
🔥ComplexHeatmap
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Enhanced Richardson Extrapolation via Adaptive Kernel Regression and Uncertainty Quantification
📊Empirical Bayes
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A quantitative comparison of the fingerprint of twinned microstructures through surface and three-dimensional techniques
nature.com·21h
🔥ComplexHeatmap
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Teaching robots to map large environments
🗺️UMAP
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Taming AI Hallucinations: Solving Physics with Reality Checks by Arvind Sundararajan
🗺️Manifold Learning
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LDBT instead of DBTL: combining machine learning and rapid cell-free testing
nature.com·20h
🧬Genomics
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TabGemma: Text-Based Tabular ICL via LLM using Continued Pretraining and Retrieval
arxiv.org·6h
🔢Embeddings
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