🐿️ ScourBrowse
LoginSign Up
You are offline. Trying to reconnect...
Copied to clipboard
Unable to share or copy to clipboard
📐 Interval Trees

Range Queries, Temporal Data, Computational Geometry, Segment Overlap

A geometric link: Convexity may bridge human and machine intelligence
phys.org·21h
📊Learned Metrics
How Fast Can Graph Computations Go on Fine-grained Parallel Architectures
arxiv.org·1d
🗜️Graph Compression
Exploring High Efficiency Web Analysis Results(1751487482109100)
dev.to·9h·
Discuss: DEV
🌊Stream Processing
Benchmarking Deep Search over Heterogeneous Enterprise Data
arxiv.org·2d
🔍Information Retrieval
Machine Learning Fundamentals: bayesian networks tutorial
dev.to·14h·
Discuss: DEV
🧠Machine Learning
Escaping Platos Cave: JAM for Aligning Independently Trained Vision and Language Models
arxiv.org·2h
📊Learned Metrics
Smooth-Distill: A Self-distillation Framework for Multitask Learning with Wearable Sensor Data
arxiv.org·1d
🌊Streaming Compression
De-LightSAM: Modality-Decoupled Lightweight SAM for Generalizable Medical Segmentation
arxiv.org·1d
🤖Advanced OCR
The Algebraic Structure of Morphosyntax
arxiv.org·1d
💾Binary Linguistics
Scalable Dynamic Origin-Destination Demand Estimation Enhanced by High-Resolution Satellite Imagery Data
arxiv.org·2d
📊Computational Geometry
Minimum Selective Subset on Some Graph Classes
arxiv.org·1d
🎨Graph Coloring
Beyond Black-Box AI: Interpretable Hybrid Systems for Dementia Care
arxiv.org·2h
🧠Machine Learning
Soft Self-labeling and Potts Relaxations for Weakly-Supervised Segmentation
arxiv.org·2h
🧠Machine Learning
A collaborative digital twin built on FAIR data and compute infrastructure
arxiv.org·1d
🔄Lens Laws
Beyond Structured Chaos
dev.to·1d·
Discuss: DEV
🔲Cellular Automata
Machine Learning Fundamentals: bayesian networks
dev.to·1d·
Discuss: DEV
🧠Machine Learning
Advancements in Machine Learning: Themes, Methods, and Future Directions from June 26, 2025 arXiv Submissions
dev.to·1d·
Discuss: DEV
🧠Machine Learning
Feedback needed: Mini Data Cleaning & Feature Engineering Project (Café Sales)
dev.to·22h·
Discuss: DEV
🔍BitFunnel
The Thin Line Between Comprehension and Persuasion in LLMs
arxiv.org·2h
🧮Kolmogorov Complexity
Training for X-Ray Vision: Amodal Segmentation, Amodal Content Completion, and View-Invariant Object Representation from Multi-Camera Video
arxiv.org·1d
📊Learned Metrics
Loading...Loading more...
AboutBlogChangelogRoadmap