Test Verifier Changes on Cilium’s BPF Programs
pchaigno.github.io·1d
🔄Reproducible Builds
How can universities train the skilled workers of tomorrow?
nature.com·1d
⚙️DIY Electronics
Preemption in Go (2021)
hidetatz.github.io·20h·
Discuss: Lobsters, Hacker News, r/programming
⚖️Hoare Logic
Service-Driven Architecture – Stevey's Google Platforms Rant
rework.com·1h·
Discuss: Hacker News
🖥️Self-hosted Infrastructure
Jenny’s Daily Drivers: KDE Linux
hackaday.com·1d
🔌Operating system internals
Bain's new analysis shows Al's productivity gains can't cover its $500B/year infrastructure bill, leaving a massive $800B funding gap.
bain.com·1d·
Discuss: Hacker News
🌊Stream Processing
The Blockchain Trilemma: Pick Two, Lose One
dev.to·1d·
Discuss: DEV
🤝Distributed Consensus
SlowFast-SCI: Slow-Fast Deep Unfolding Learning for Spectral Compressive Imaging
arxiv.org·1d
⚡Modern Compression
SVeritas: Benchmark for Robust Speaker Verification under Diverse Conditions
arxiv.org·1d
🎵Acoustic Fingerprinting
SCAN: Self-Denoising Monte Carlo Annotation for Robust Process Reward Learning
arxiv.org·1d
📊Learned Metrics
FakeSound2: A Benchmark for Explainable and Generalizable Deepfake Sound Detection
arxiv.org·1d
🎵Audio Hashing
CoPlanner: An Interactive Motion Planner with Contingency-Aware Diffusion for Autonomous Driving
arxiv.org·1d
⚡Incremental Computation
Automated Labeling of Intracranial Arteries with Uncertainty Quantification Using Deep Learning
arxiv.org·1d
🌀Riemannian Computing
How to Rackmount GPUs?
reddit.com·1d·
Discuss: r/homelab
🏠HomeLab
Probabilistic Geometric Principal Component Analysis with application to neural data
arxiv.org·8h
🌀Differential Geometry
Quantum-Enhanced Federated Learning for Anomaly Detection in Quantum Circuit Calibration
dev.to·2d·
Discuss: DEV
⚛️Quantum Compilers
PruneCD: Contrasting Pruned Self Model to Improve Decoding Factuality
arxiv.org·1d
🌀Brotli Dictionary
Efficiently Computing the Cyclic Output-to-Output Gain
arxiv.org·1d
🎯Performance Proofs
BULL-ODE: Bullwhip Learning with Neural ODEs and Universal Differential Equations under Stochastic Demand
arxiv.org·8h
🧠Machine Learning
ContextFlow: Training-Free Video Object Editing via Adaptive Context Enrichment
arxiv.org·1d
🧠Learned Codecs