Sheafification - The optimal path to mathematical mastery
sheafification.com·15h·
Discuss: Hacker News
🕸️Algebraic Topology
Sharing Is Scaring: Linking Cloud File-Sharing to Programming Language Semantics
cs.brown.edu·1d·
Discuss: Hacker News
🔗Archive Combinators
WoW: A Window-to-Window Incremental Index for Range-Filtering Approximate Nearest Neighbor Search
arxiv.org·4d
📇Indexing Strategies
SemSR: Semantics aware robust Session-based Recommendations
arxiv.org·2d
🎯Content Recommendation
Forget Vector Databases: RAG with Just SQL and LLM
risingwave.com·3d·
Discuss: Hacker News
🔗Hypermedia APIs
[P] Why didn’t semantic item profiles help my GCN recommender model?
reddit.com·15h·
Discuss: r/MachineLearning
🧮Vector Embeddings
Automated Chromatin Landscape Mapping via Multi-Scale Graph Neural Networks
dev.to·2d·
Discuss: DEV
🧠Machine Learning
FedReFT: Federated Representation Fine-Tuning with All-But-Me Aggregation
arxiv.org·2d
🌀Brotli Dictionary
Contrastive Representations for Temporal Reasoning
princeton-rl.github.io·2d·
Discuss: Hacker News
🔲Cellular Automata
Inverting the Xorshift128 random number generator
littlemaninmyhead.wordpress.com·1h·
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🌊Stream Ciphers
Structured bindings in C++17, 8 years later – C++ Stories
cppstories.com·2h·
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⬆️Lambda Lifting
Memorization in Graph Neural Networks
arxiv.org·3d
🕸️Graph Embeddings
Sandboxing AI-generated code: why we moved from WASM to AWS Lambda
quesma.com·11h·
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🛡️WASM Sandboxing
Exosome-Derived miRNA Biomarker Fusion: Adaptive Bayesian Network for Early Pancreatic Cancer Detection
dev.to·6h·
Discuss: DEV
🧠Machine Learning
SUMMA: A Multimodal Large Language Model for Advertisement Summarization
arxiv.org·2d
🔍Information Retrieval
What is Computer Vision?
dev.to·1d·
Discuss: DEV
🏺Computational Archaeology
Baby's first type checker
austinhenley.com·1h·
Discuss: Lobsters, Hacker News
🔤Type Theory
Show HN: Vectorless RAG
github.com·4d·
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📊Multi-vector RAG
Automated Mineralogical Pattern Recognition via Hyperdimensional Feature Space Mapping and Bayesian Optimization
dev.to·2d·
Discuss: DEV
🏺Computational Archaeology
InSQuAD: In-Context Learning for Efficient Retrieval via Submodular Mutual Information to Enforce Quality and Diversity
arxiv.org·2d
🔍Information Retrieval