From Tables to Relationships: Visualizing Iceberg Data as a Graph
blog.min.io·2d
🔄Sync Engine
Offensive Systems for Use in Deep-Space Combat
web.archive.org·10h·
Discuss: Hacker News
🔬Projection Optics
Calculus Phobic's Introduction to Differentiable Programming
andersource.dev·3d·
Discuss: Hacker News
⚡Incremental Computation
Qwen VLo: From "Understanding" the World to "Depicting" It
qwenlm.github.io·3d·
Discuss: Hacker News, r/LocalLLaMA
🏛Digital humanities
Real-time Fire Detection System
hackster.io·14h
🏠Home Automation
World-Environment-Action-Day
dev.to·10h·
Discuss: DEV
🏛️OAIS Implementation
RL-Driven Semantic Compression Model Selection and Resource Allocation in Semantic Communication Systems
arxiv.org·5d
⧗Information Bottleneck
Learning-aided Bigraph Matching Approach to Multi-Crew Restoration of Damaged Power Networks Coupled with Road Transportation Networks
arxiv.org·4d
🕸️Graph Algorithms
Show HN: I'm compiling classical v1 works of software
github.com·2d·
Discuss: Hacker News
🏺ZIP Archaeology
Learning from Anatomy: Supervised Anatomical Pretraining (SAP) for Improved Metastatic Bone Disease Segmentation in Whole-Body MRI
arxiv.org·4d
🧠Machine Learning
MURF AI Hackathon
dev.to·7h·
Discuss: DEV
🎙️Whisper
Generative AI Meets Edge: Deploying Foundation Models with AWS IoT Greengrass
dev.to·3h·
Discuss: DEV
🌊Streaming Systems
Machine Learning Fundamentals: anomaly detection example
dev.to·1d·
Discuss: DEV
👁️Observatory Systems
Probing AI Safety with Source Code
arxiv.org·3d
✨Effect Handlers
Adding Sessions and Memory to Your AI Agent with Agent Development Kit (ADK)
dev.to·6h·
Discuss: DEV
🌊Streaming Systems
Curating art exhibitions using machine learning
arxiv.org·4d
🏺Computational Archaeology
CORAL: Disentangling Latent Representations in Long-Tailed Diffusion
arxiv.org·6d
📊Learned Metrics
The Bitter Lesson is coming for Tokenization
lucalp.dev·5d·
Discuss: Lobsters, Hacker News, r/programming
🔗Monadic Parsing
Counterfactual Fairness through Transforming Data Orthogonal to Bias
arxiv.org·3d
🌸Bloom Variants
Learning High-Quality Latent Representations for Anomaly Detection and Signal Integrity Enhancement in High-Speed Signals
arxiv.org·5d
🧠Machine Learning