Thank you for joining us at the 11th Wikimedia Spain Annual Conference
diff.wikimedia.org·23h
🕸️WARC Archives
YouTube gets ~5% CTR lift on Shorts by replacing embedding tables with Semantic IDs
shaped.ai·3d
📊Feed Optimization
Age of Discord II
peterturchin.com·1d·
Discuss: Hacker News
🔲Cellular Automata
GitLab Knowledge Graph
gitlab-org.gitlab.io·12h·
Discuss: Hacker News
🕸️Knowledge Graphs
Can you solve it? The London cab that rode into history
theguardian.com·49m
📐Interval Arithmetic
Ship Broken Things
matmul.net·3d·
Discuss: Hacker News
🔗Topological Sorting
Understanding Multilayer Perceptron (MLP) in Machine Learning
dev.to·1h·
Discuss: DEV
🧠Machine Learning
RecGen: a powerful tool to create recommendation systems
dev.to·2d·
Discuss: DEV
🔗Constraint Handling
OBCache: Optimal Brain KV Cache Pruning for Efficient Long-Context LLM Inference
arxiv.org·3d
💻Local LLMs
Visual Anomaly Detection for Reliable Robotic Implantation of Flexible Microelectrode Array
arxiv.org·2h
💾Floppy Imaging
Bayesian Optimization for Dynamic Sample Size Allocation in A/B Testing
dev.to·1d·
Discuss: DEV
🧮Kolmogorov Bounds
On Epistemic Uncertainty of Visual Tokens for Object Hallucinations in Large Vision-Language Models
arxiv.org·2h
🤖Advanced OCR
Do We Really Need SFT? Prompt-as-Policy over Knowledge Graphs for Cold-start Next POI Recommendation
arxiv.org·3d
🎯Content Recommendation
Beyond Vector Search: Building a RAG That *Actually* Understands Your Data
dev.to·3d·
Discuss: DEV
🗂️Vector Databases
A Hierarchical Geometry-guided Transformer for Histological Subtyping of Primary Liver Cancer
arxiv.org·5d
🌀Hyperbolic Geometry
🧩 The "Merging Maze": Designing a Neural Network for Unified
dev.to·5d·
Discuss: DEV
🕸️Graph Embeddings
To Sink or Not to Sink: Visual Information Pathways in Large Vision-Language Models
arxiv.org·3d
📊Learned Metrics
Adaptive Kernel Regression with Spatio-Temporal Context for Real-Time Object Tracking in Aerial Imagery
dev.to·1d·
Discuss: DEV
🌀Differential Geometry
Quantum Agents: The Algorithmic Alchemists Reshaping Discovery
dev.to·1d·
Discuss: DEV
⚛️Quantum Algorithms
Conformal Risk Training: End-to-End Optimization of Conformal Risk Control
arxiv.org·2h
🧠Machine Learning