Vector Representations, Semantic Space, Neural Networks, Dimensionality Reduction

Differentiation and how it could be the reason why reality exists
carlo-htgdc.medium.com·12h·
Discuss: Hacker News
💫Effect Systems
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Benchmarking the Most Reliable Document Parsing API
tensorlake.ai·17h·
Discuss: Hacker News
📝NLP
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Show HN: OpenHealth – AI health platform with RAG over 38M medical papers
news.ycombinator.com·16h·
Discuss: Hacker News
🚀MLOps
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Using Machine Learning in CAD to Detect Design Flaws Before They Become Costly
instandart.com·2d·
Discuss: DEV
🧠Machine Learning
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Lessons from the Vibe Coding Trenches
brandonharris.io·1h·
Discuss: Hacker News
💫Effect Systems
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The future of LLMs: cognitive core and cartridges?
killerstorm.github.io·1d·
Discuss: Hacker News
💬Prompt Engineering
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A Practitioner's Guide to Kolmogorov-Arnold Networks
arxiviq.substack.com·4d·
Discuss: Substack
📱Edge AI
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How to Design Efficient Memory Architectures for Agentic AI Systems
pub.towardsai.net·2d
🧠Memory Models
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Automated REST API Anomaly Detection via Graph Neural Network-Driven Causal Inference
dev.to·1d·
Discuss: DEV
📱Edge AI
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flowengineR: A Modular and Extensible Framework for Fair and Reproducible Workflow Design in R
arxiv.org·3d
🔧Data Engineering
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Multi-Representation Attention Framework for Underwater Bioacoustic Denoising and Recognition
arxiv.org·4d
📡Signal Processing
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Measuring Machine Companionship: Scale Development and Validation for AI Companions
arxiv.org·3d
🛡️AI Security
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On Improvisation and Open-Endedness: Insights for Experiential AI
arxiv.org·3d
💬Prompt Engineering
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The Exact Steps I Followed to Start My AI Learning Path
dev.to·1h·
Discuss: DEV
💬Prompt Engineering
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SHIELD: Securing Healthcare IoT with Efficient Machine Learning Techniques for Anomaly Detection
arxiv.org·1d
🧠Machine Learning
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Dynamic causal discovery in Alzheimer's disease through latent pseudotime modelling
arxiv.org·6h
📊Dynamic Programming
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