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🔢 Binary Embeddings

1-bit Quantization, Hamming Distance, Sparse Representations, Memory Efficiency

How to Play (and Win) Pips
lifehacker.com·9h
🔲Cellular Automata
Sep 20 2025 : Intro to Soldering Workshop: Make an LED Tile
nycresistor.com·4h
⚙️DIY Electronics
Security Product Efficacy
textslashplain.com·8h
🎯Threat Hunting
Harvard Dropouts To Launch 'Always On' AI Smart Glasses That Listen, Record Every Conversation
hardware.slashdot.org·7h
⏳Time Capsule Networks
Finding links between fraudulent email domains using graph-based clustering
blog.castle.io·1d·
Discuss: Hacker News
📡DNS Archaeology
Stream Integration
feldera.com·2d·
Discuss: Hacker News
🌊Stream Processing
𝗔𝗜 𝗛𝗮𝗹𝗹𝘂𝗰𝗶𝗻𝗮𝘁𝗶𝗼𝗻𝘀: 𝗟𝗲𝘀𝘀𝗼𝗻𝘀 𝗳𝗿𝗼𝗺 𝗣𝗲𝗿𝘀𝗼𝗻𝗮𝗹 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲
dev.to·19h·
Discuss: DEV
🌀Brotli Internals
Understanding GRU in Deep Learning (Made Simple for Beginners)
dev.to·1d·
Discuss: DEV
🌀Brotli Internals
Designing Scalable SQLite Schemas for Python Apps
dev.to·1d·
Discuss: DEV
🗄️SQLite Internals
RAG-Boost: Retrieval-Augmented Generation Enhanced LLM-based Speech Recognition
arxiv.org·2h
🎵Audio ML
The Course Difficulty Analysis Cookbook
arxiv.org·1d
🧠Intelligence Compression
Entropy-Constrained Strategy Optimization in Urban Floods: A Multi-Agent Framework with LLM and Knowledge Graph Integration
arxiv.org·2h
🔲Cellular Automata
Programmable Anyon Mobility through Higher Order Cellular Automata
arxiv.org·1d
🔲Cellular Automata
Smarter Model Tuning: An AI Agent with LangGraph + Streamlit That Boosts ML Performance
towardsdatascience.com·10h
🎙️Whisper
Learning with Confidence
arxiv.org·3d
🧠Machine Learning
Influence Prediction in Collaboration Networks: An Empirical Study on arXiv
arxiv.org·2d
📊Citation Graphs
Learn to optimize for automatic proton PBS treatment planning for H&N cancers
arxiv.org·3d
⚡SIMD Vectorization
The Interpretability Analysis of the Model Can Bring Improvements to the Text-to-SQL Task
arxiv.org·1d
🧮Datalog Engines
MuSACo: Multimodal Subject-Specific Selection and Adaptation for Expression Recognition with Co-Training
arxiv.org·2d
📊Learned Metrics
S5: Scalable Semi-Supervised Semantic Segmentation in Remote Sensing
arxiv.org·2d
🧪Data science
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