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Building blobd: single-machine object store with sub-millisecond reads and 15 GB/s uploads
blog.wilsonl.in·1d·
Discuss: Hacker News
🔲Zarr
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News for October 2025
ptreview.sublinear.info·13h
🔲Zarr
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Gated DeltaNet (Linear Attention variant in Qwen3-Next and Kimi Linear)
sebastianraschka.com·1d·
Discuss: r/LLM
⛰️Gradient Descent
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The Curvature Rate {\lambda}: A Scalar Measure of Input-Space Sharpness in Neural Networks
arxiv.org·7h
🗺️Manifold Learning
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Uncrossed Multiflows and Applications to Disjoint Paths
arxiv.org·7h
📐Computational Geometry
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Powerful tool can map gene regulation at single-nucleotide resolution
phys.org·16h
🧬Genomics
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A Multimodal Dataset for Indoor Radio Mapping with 3D Point Clouds and RSSI
arxiv.org·7h
📐Computational Geometry
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FedMGP: Personalized Federated Learning with Multi-Group Text-Visual Prompts
arxiv.org·7h
🗺️UMAP
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Why Multimodal AI Broke the Data Pipeline — And How Daft Is Beating Ray and Spark to Fix It
hackernoon.com·1d
🔲Zarr
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EVINGCA: Adaptive Graph Clustering with Evolving Neighborhood Statistics
arxiv.org·7h
📐Computational Geometry
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KAT-GNN: A Knowledge-Augmented Temporal Graph Neural Network for Risk Prediction in Electronic Health Records
arxiv.org·7h
🗺️UMAP
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Writing an LLM from scratch, part 27 – what's left, and what's next?
gilesthomas.com·11h·
Discuss: Hacker News
⛰️Gradient Descent
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Towards Automated Petrography
arxiv.org·7h
📐Computational Geometry
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SciTextures: Collecting and Connecting Visual Patterns, Models, and Code Across Science and Art
arxiv.org·7h
📐Computational Geometry
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Toward a Compressed Core of Human Knowledge: The High-Dimensional Vector Network for AI
reddit.com·1d·
Discuss: r/AfterClass
🔢Embeddings
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Transformer-Based Decoding in Concatenated Coding Schemes Under Synchronization Errors
arxiv.org·7h
🔲Zarr
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Post-training methods for language models
developers.redhat.com·5h
⛰️Gradient Descent
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Probabilistic Robustness for Free? Revisiting Training via a Benchmark
arxiv.org·7h
⛰️Gradient Descent
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Synthesized Generative Modeling via Graph-Constrained Semantic Embedding
dev.to·1d·
Discuss: DEV
🔢Embeddings
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Spatial Secrets: Unleashing Language Models with Unexpected Masking by Arvind Sundararajan
dev.to·7h·
Discuss: DEV
🔢Embeddings
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