.NET Digest #9
pvs-studio.com·4h·
Discuss: r/programming
🎯WASM Runtime
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Notes Apps
cao.sh·19h·
Discuss: Hacker News
📔Journaling
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Kosmos: Next-generation AI Scientist
edisonscientific.com·2h·
Discuss: Hacker News
📱Edge AI
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OpenAI Model Spec
model-spec.openai.com·11h·
Discuss: Hacker News
🛡️AI Security
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Build Efficient MCP Servers: Three Design Principles
damiangalarza.com·4h·
Discuss: Hacker News
🌳Tree-sitter
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Parallel achieves 70% accuracy on SEAL, benchmark for hard web research
parallel.ai·2d·
Discuss: Hacker News
🚀Performance
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Enabling Trillion-Parameter Models on AWS EFA
research.perplexity.ai·1d·
Discuss: Hacker News
⚡Hardware Acceleration
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[D] Favorite Deep Learning Textbook for teaching undergrads?
reddit.com·13h·
Discuss: r/MachineLearning
🔬Deep Learning
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Discrete Fourier Transform: Introduction (2020)
chciken.com·4h·
Discuss: Hacker News
📐Linear Algebra
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NocoBase Weekly Updates: Optimization and Bug Fixes
dev.to·16h·
Discuss: DEV
🌱BonsaiDb
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Graph RAG vs SQL RAG
towardsdatascience.com·5d
🕸️Graph Databases
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Towards Transparent Stance Detection: A Zero-Shot Approach Using Implicit and Explicit Interpretability
arxiv.org·14h
🧮Embeddings
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Computer Science Fundamentals: From Binary Systems to Algorithms
dev.to·2d·
Discuss: DEV
🌳Data Structures
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BondBERT: What we learn when assigning sentiment in the bond market
arxiv.org·1d
💰TigerBeetle
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A brief guide for those who slept (on AI) the last two years
dev.to·1d·
Discuss: DEV
💬Prompt Engineering
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From Five Dimensions to Many: Large Language Models as Precise and Interpretable Psychological Profilers
arxiv.org·14h
💬Natural Language Processing
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Adversarial Spatio-Temporal Attention Networks for Epileptic Seizure Forecasting
arxiv.org·2d
🤖Transformers
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Why Grid Trading Bots Are Dominating Bull Markets Right Now
dev.to·10h·
Discuss: DEV
💰TigerBeetle
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Deep Learning Approach to Anomaly Detection in Enterprise ETL Processes with Autoencoders
arxiv.org·2d
🔬Deep Learning
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Automated Anomaly Detection and Predictive Maintenance in Self-Propelled Brush Rollers Using Bayesian Network Fusion
dev.to·1d·
Discuss: DEV
🧠Machine Learning
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