5 genius ways to use a 3D printer for back-to-school prep
xda-developers.com·4h
👁️Computer Vision
Database.news – curated list of database news from authoritative sources
database.news·1d·
Discuss: Lobsters, Hacker News
🗄️Databases
Devops, SRE and platform engineering: What’s the difference?
infoworld.com·4h
🏗️Systems Design
‘Tesla is Much Better Than Google. By Far’: Elon Musk Says They’re ‘The Best in the World at Real-World AI’
nordot.app·5h
💬NLP
Biological Computing
seanpedersen.github.io·1d
🧠Neural Architecture
CREAM: Avoiding collisions in space through automation
phys.org·3h
⚙Systems Programming
Managing Time Shiftable Devices
bitsandtheorems.com·7h·
Discuss: Hacker News
🔌Embedded Systems
NASA’s Curiosity Mars Rover Just Got a Big Brain Upgrade
scitechdaily.com·5h
📱Edge AI
The WHY, the How, the What. An assessment of TETRA End-to-end (WHY2025)
cdn.media.ccc.de·8h
🏗️Systems Design
Building Trust in Military AI Starts with Opening the Black Box - War on the Rocks
news.google.com·11h
🔒Cybersecurity
AWS Training Completed — Multicloud Learning in Progress
dev.to·39m·
Discuss: DEV
👁️Observability
Nvidia pushes "Physical AI" with new Blackwell hardware and AI models
the-decoder.com·1d
📱Edge AI
Levarging Learning Bias for Noisy Anomaly Detection
arxiv.org·15h
🧠Neural Architecture
Advanced Contract Patterns and Testing Strategies for AI-Safe Development
dev.to·6h·
Discuss: DEV
⚙️LLVM
MIND: A Noise-Adaptive Denoising Framework for Medical Images Integrating Multi-Scale Transformer
arxiv.org·15h
🧠Neural Architecture
Advanced Hybrid Transformer LSTM Technique with Attention and TS Mixer for Drilling Rate of Penetration Prediction
arxiv.org·4d
🧠Neural Architecture
Geometry-Aware Spiking Graph Neural Network
arxiv.org·15h
🧠Neural Architecture
Dynamic Holographic Rendering Adaptation via Multi-Modal Data Fusion and Generative Adversarial Networks
dev.to·10h·
Discuss: DEV
📱Edge AI
Robotics Hello World, a.k.a build your own hexapod (WHY2025)
cdn.media.ccc.de·1d
🔌Embedded Systems
Automated Texture Characterization & Predictive Failure Analysis in Compression Testing via Multi-Modal Neural Networks
dev.to·6h·
Discuss: DEV
🧠Neural Architecture