Tor HSDir Election: Consensus Weight Calculation and Directory Authority Coordination
sambent.comยท5h
๐ฉโ๐ปProgramming
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Memgraph Adds AI Graph Toolkit
i-programmer.infoยท7h
๐คAI
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Ubuntu Blog: Generating color palettes for design systems โฆ inspired by APCA!
ubuntu.comยท1d
๐Machine Learning
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Building a Gmail Inbox Management Agent in n8n
kdnuggets.comยท5h
๐คAI
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Spider-Man: The Movie Game dissection project Checkpoint - November 2025
๐ฉโ๐ปProgramming
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A GPU-boosted high-performance multi-working condition joint analysis framework for predicting dynamics of textured axial piston pump
arxiv.orgยท17h
๐Machine Learning
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Sentiment Analysis On YouTube Comments Using Machine Learning Techniques Based On Video Games Content
arxiv.orgยท17h
๐Machine Learning
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Classification of Microplastic Particles in Water using Polarized Light Scattering and Machine Learning Methods
arxiv.orgยท17h
๐Machine Learning
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Quantifying Edits Decay in Fine-tuned LLMs
arxiv.orgยท17h
๐Machine Learning
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Knowledge-based anomaly detection for identifying network-induced shape artifacts
arxiv.orgยท1d
๐Machine Learning
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EncouRAGe: Evaluating RAG Local, Fast, and Reliable
arxiv.orgยท1d
๐Machine Learning
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Consistency Is Not Always Correct: Towards Understanding the Role of Exploration in Post-Training Reasoning
arxiv.orgยท17h
๐Machine Learning
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The Hidden Cost of Event-Driven Architecture: Why Decoupling Can Triple Your Debugging Time
๐ฉโ๐ปProgramming
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Day 28: Python Bubble Sort, Implement a Simple Sorting Algorithm with Nested Loops
๐ฉโ๐ปProgramming
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Reasoning Up the Instruction Ladder for Controllable Language Models
arxiv.orgยท1d
๐ฉโ๐ปProgramming
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Understanding Cross Task Generalization in Handwriting-Based Alzheimer's Screening via Vision Language Adaptation
arxiv.orgยท17h
๐Machine Learning
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A novel probabilistic wind power forecasting framework integrating similar curve matching mechanism and an enhanced conditional diffusion model
sciencedirect.comยท8h
๐Machine Learning
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Deep Pareto Reinforcement Learning for Multi-Objective Recommender Systems
arxiv.orgยท17h
๐Machine Learning
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Attention and Compression is all you need for Controllably Efficient Language Models
arxiv.orgยท1d
๐Machine Learning
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