Start and scale your apps faster with improved container image streaming in GKE
cloud.google.com·42m
🌊Event Streaming
I built a pipeline for automatically translating Chinese news
bednarskiwsieci.pl·23h·
Discuss: Hacker News
🎙️Whisper
Accrescent – Progress Update and Roadmap
blog.accrescent.app·1d·
Discuss: Hacker News
🔌Offline-first Apps
Why We Migrated from Neon to PlanetScale
blog.opensecret.cloud·1d·
Discuss: Hacker News
☁️Serverless Rust
conductor-oss/conductor
github.com·15h
🧪Home Lab
Trust as an Abstraction
medium.com·11h·
Discuss: Hacker News
🏠Self-hosted AI
Automated Differential Privacy Enforcement via Adaptive Kernel Density Estimation (ADPE-KDE) in Streaming Sensor Data
dev.to·2d·
Discuss: DEV
⏱️TimescaleDB
BiXSE: Improving Dense Retrieval via Probabilistic Graded Relevance Distillation
arxiv.org·1d
🏗️AI Infrastructure
TensorFlow Graph Optimization With Grappler
hackernoon.com·20h
🏗️AI Infrastructure
Forecasting Commodity Price Shocks Using Temporal and Semantic Fusion of Prices Signals and Agentic Generative AI Extracted Economic News
arxiv.org·1d
🏗️AI Infrastructure
Federated Learning with Differential Privacy for Edge-Based Anomaly Detection in Industrial IoT
dev.to·2d·
Discuss: DEV
🤝Federated Learning
Optimizing AWS Costs for AI Development in 2025
dev.to·1d·
Discuss: DEV
🏗️AI Infrastructure
Sparse Variational Student-t Processes
arxiv.org·1d
💻Local LLMs
Taking the Garbage Out of Data-Driven Prediction Across Climate Timescales
arxiv.org·1d
⏱️TimescaleDB
Automated Quench Optimization via Multi-Modal Data Fusion and Reinforcement Learning
dev.to·23h·
Discuss: DEV
🏗️AI Infrastructure
Stochastic Precipitation Pattern Prediction via Multi-Modal Ensemble Fusion
dev.to·2d·
Discuss: DEV
👥Digital Twins
Few-Shot Anomaly Detection in Manufacturing via Bayesian Hypernetwork Optimization
dev.to·1d·
Discuss: DEV
🏗️AI Infrastructure
Bayesian Gaussian Process ODEs via Double Normalizing Flows
arxiv.org·2d
⏱️TimescaleDB
Understanding Users' Privacy Perceptions Towards LLM's RAG-based Memory
arxiv.org·1d
💻Local LLMs
Technical Report: Full-Stack Fine-Tuning for the Q Programming Language
arxiv.org·1d
💻Local LLMs