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🧮 Vector Embeddings

Semantic Search, Content Similarity, High-dimensional Indexing, Retrieval Systems

New technique rapidly identifies high-performing enzymes for sustainable biomanufacturing
phys.org·1d
🌈Spectroscopy
Blazing matrix products
panadestein.github.io·2d·
Discuss: Lobsters, Hacker News
⚡SIMD Optimization
The AI-boom's multi-billion dollar blind spot
cnbc.com·13h·
Discuss: Hacker News
🧠Intelligence Compression
20 Best AI Headshot Generators of 2025 (I Tried Them All)
dev.to·7h·
Discuss: DEV
⚡Proof Automation
Creativity & Technological Evolution
techdirt.com·1d
🌍Cultural Computing
Novel Multicolumn Kernel Extreme Learning Machine for Food Detection via Optimal Features from CNN
arxiv.org·4d
🧠Machine Learning
Data Curation Matters: Model Collapse and Spurious Shift Performance Prediction from Training on Uncurated Text Embeddings
arxiv.org·4d
🗂️Vector Databases
World-aware Planning Narratives Enhance Large Vision-Language Model Planner
arxiv.org·1d
🤖Advanced OCR
Uncertainty Quantification on Graph Learning: A Survey
arxiv.org·3d
🕸️Graph Embeddings
LieDetect: Detection of representation orbits of compact Lie groups from point clouds
arxiv.org·4d
🌀Differential Geometry
YOLOv13: Real-Time Object Detection with Hypergraph-Enhanced Adaptive Visual Perception
arxiv.org·4d
🌸Bloom Variants
AI and Machine Learning: Transforming the Future, One Algorithm at a Time
dev.to·2d·
Discuss: DEV
🧠Machine Learning
Stretching Beyond the Obvious: A Gradient-Free Framework to Unveil the Hidden Landscape of Visual Invariance
arxiv.org·5d
📊Learned Metrics
Language Bottleneck Models: A Framework for Interpretable Knowledge Tracing and Beyond
arxiv.org·5d
🧮Kolmogorov Complexity
Advanced Python Testing Techniques: Property-Based, Mutation, and Fuzzing for Robust Applications
dev.to·4h·
Discuss: DEV
🐛Fuzzing
How AI Helped Me Build a CRM Integration 60% Faster: A Real Vue.js + CouchDB Case Study
dev.to·2d·
Discuss: DEV
🌀Brotli Internals
MambaOutRS: A Hybrid CNN-Fourier Architecture for Remote Sensing Image Classification
arxiv.org·3d
🌀Riemannian Computing
Guidance in the Frequency Domain Enables High-Fidelity Sampling at Low CFG Scales
arxiv.org·3d
👁️Perceptual Coding
ReMAR-DS: Recalibrated Feature Learning for Metal Artifact Reduction and CT Domain Transformation
arxiv.org·3d
📊Learned Metrics
How I Built a Self-Documenting GenAI-Native Remix Template
dev.to·7h·
Discuss: DEV
🔄Reproducible Builds
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