Vector Representations, Semantic Space, Neural Networks, Dimensionality Reduction

Neuromorphic Computing: The Brain-Inspired Revolution Transforming AI
eproductempire.blogspot.com·14h
🤖Cyberpunk
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Sky News investigated X's algorithm for political bias
news.sky.com·1h·
Discuss: Hacker News
📝NLP
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Benchmarking the Most Reliable Document Parsing API
tensorlake.ai·1h·
Discuss: Hacker News
📝NLP
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Show HN: OpenHealth – AI health platform with RAG over 38M medical papers
news.ycombinator.com·1h·
Discuss: Hacker News
🚀MLOps
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Using Machine Learning in CAD to Detect Design Flaws Before They Become Costly
instandart.com·1d·
Discuss: DEV
🧠Machine Learning
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Stainless Docs Platform — Early Access
stainless.com·43m·
Discuss: Hacker News
📝Markdown
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The future of LLMs: cognitive core and cartridges?
killerstorm.github.io·21h·
Discuss: Hacker News
💬Prompt Engineering
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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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AWS S3 Vectors at scale: Real performance numbers at 10 million Vectors
dev.to·9h·
Discuss: DEV
🧮Vector Databases
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Automated Variant Calling Refinement via Multi-Modal Neuro-Symbolic Integration (AMVR-MNSI)
dev.to·2d·
Discuss: DEV
🌳Tree-sitter
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flowengineR: A Modular and Extensible Framework for Fair and Reproducible Workflow Design in R
arxiv.org·2d
🔧Data Engineering
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Multi-Representation Attention Framework for Underwater Bioacoustic Denoising and Recognition
arxiv.org·3d
📡Signal Processing
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Measuring Machine Companionship: Scale Development and Validation for AI Companions
arxiv.org·2d
🛡️AI Security
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On Improvisation and Open-Endedness: Insights for Experiential AI
arxiv.org·2d
💬Prompt Engineering
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SHIELD: Securing Healthcare IoT with Efficient Machine Learning Techniques for Anomaly Detection
arxiv.org·14h
🧠Machine Learning
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BondBERT: What we learn when assigning sentiment in the bond market
arxiv.org·1d
💰TigerBeetle
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