Maximizing Crypto Mining Efficiency with Advanced Cooling Solutions
lianliwork.com·16h·
Discuss: DEV
🗄️Storage Tiering
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Celtic Code: Drawing Knots with Python
2earth.github.io·10h·
Discuss: Hacker News
🏺Data Archaeology
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Foundation model reveals how cells are organized in tissues
phys.org·2h
🕰️Biological Timing
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Automated Personalized Chemotherapy Optimization via Multi-Modal Data Fusion & Reinforcement Learning
dev.to·20h·
Discuss: DEV
🎮Reinforcement Learning
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Phased DMD: Few-step Distribution Matching Distillation via Score Matching within Subintervals
arxiv.org·13h
🧭Vector Databases
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Byzantine Attacks in RIS-Enhanced Cooperative Spectrum Sensing: A Decision Fusion Perspective
arxiv.org·13h
🌐Distributed Systems
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Incremental Compilation in Recursive‑Descent Parser (Roslyn)
langdev.stackexchange.com·23h·
Discuss: Hacker News
⚙️Query Compilers
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Enhanced Richardson Extrapolation via Adaptive Kernel Regression and Uncertainty Quantification
dev.to·4h·
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🗂️HDF5
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Autonomous Consciousness Nexus: A Quantum-Enhanced Framework for Self-Evolving AI Systems
dev.to·10h·
Discuss: DEV
🧬Quantum Biology
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UniME-V2: MLLM-as-a-Judge for Universal Multimodal Embedding Learning
paperium.net·19h·
Discuss: DEV
🧭Vector Databases
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Why Engineers Can't Be Rational About Programming Languages
spf13.com·4h·
Discuss: Hacker News
📋Tokei
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Functional embeddings enable Aggregation of multi-area SEEG recordings over subjects and sessions
arxiv.org·13h
🧭Vector Databases
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Small Vs. Large Language Models
semiengineering.com·10h·
Discuss: Hacker News
📊Columnar Engines
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Building Yantra: A Visual Workflow Automation Engine
patali.dev·15h·
Discuss: Hacker News
📊Columnar Engines
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Birch leaves and peanuts turned into advanced laser technology
phys.org·2h
🔬science
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Thought-to-Text: AI Bridges the Silent Divide
dev.to·5h·
Discuss: DEV
🧠Neural Interfaces
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Engineering a Trillion-Parameter Architecture on Consumer Hardware
hackernoon.com·13h
📊Columnar Engines
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Visual Backdoor Attacks on MLLM Embodied Decision Making via Contrastive Trigger Learning
arxiv.org·13h
🤖AI
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Unlocking AI Potential: Squeezing Giant Models into Tiny Spaces
dev.to·19h·
Discuss: DEV
📊Columnar Engines
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