Esperanto Joins the Universal Declaration on Archives
ica.org·1d
⚖️Archive Ethics
FPGA snake!
hackster.io·8h
⚡Homebrew CPUs
haskell/bytestring
github.com·3d
🧬Functional Programming
AI x Commerce | Andreessen Horowitz
a16z.com·11h
🤖AI Curation
Creating a read-only PostgreSQL user
crunchydata.com·6h·
Discuss: Hacker News
🗄️PostgreSQL WAL
Show HN: Textideo – Generate short AI videos from text prompts
textideo.com·15h·
Discuss: Hacker News
🗜️LZW Variants
How we use a 3-stage, human-in-the-loop AI workflow to overhaul rsyslog's docs
rsyslog.com·6d·
Discuss: Hacker News
⚡Proof Automation
Struggling with Vendor Lock-In? Why PostgreSQL is Your Exit Strategy?
dev.to·10h·
Discuss: DEV
🔄Schema Evolution
Day 2 of 100
dev.to·4h·
Discuss: DEV
📝Concrete Syntax
Untangling the Web: Practical Middleware Patterns in Go
dev.to·13h·
Discuss: DEV
🌊Stream Processing
R0AR Announces Node Sale: Democratizing Layer 2 Infrastructure And Rewarding Community Participation
hackernoon.com·19h
🏠Homelab Federation
[D] ACL Rolling Review (ARR) 2025 May (EMNLP 2025) Stats
reddit.com·2d·
Discuss: r/MachineLearning
📦METS Standards
From Grep to ast-grep: Building XRAY MCP for Code-Aware AI
dev.to·4d·
Discuss: DEV
🌳Incremental Parsing
Engineered yeast provides rare but essential pollen sterols for honeybees
nature.com·1h
🧬Copy Number Variants
Unified Knowledge Distillation Framework: Fine-Grained Alignment and Geometric Relationship Preservation for Deep Face Recognition
arxiv.org·2d
📊Learned Metrics
SQL vs NoSQL: 7 Key Differences You Must Know day 30 f system design basics
dev.to·4d·
Discuss: DEV
🌊Streaming Databases
Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference
arxiv.org·1d
📊Quantization
From Misunderstandings to Learning Opportunities: Leveraging Generative AI in Discussion Forums to Support Student Learning
arxiv.org·2d
🤖Grammar Induction
A Cross-Modal Rumor Detection Scheme via Contrastive Learning by Exploring Text and Image internal Correlations
arxiv.org·2d
🧭Content Discovery
Adaptive Lane Departure Warning System via Dynamic Bayesian Network and Spatio-Temporal LSTM Fusion
dev.to·1d·
Discuss: DEV
🔄Finite State Machines