National Cybersecurity Awareness Month: Exorcising the ghosts of forgotten devices
runzero.com·18h
🛡Cybersecurity
‘Shine a light’ — ending the exile of being too far from Main Street
blog.apnic.net·3h
🕸️Mesh Networks
Dynamic Levels of Detail in Evolve
evolvebenchmark.com·17h·
Discuss: Hacker News
🖥️Terminal Renaissance
I/O Multiplexing (select vs. poll vs. epoll/kqueue)
nima101.github.io·3h·
Discuss: Hacker News
🌊Stream Processing
Build an Asteroids Game with Raylib-go
dev.to·3h·
Discuss: DEV
🕹Emulation
2025 Hackaday Supercon: More Wonderful Speakers
hackaday.com·1d
⚙️DIY Electronics
Evaluating Fundus-Specific Foundation Models for Diabetic Macular Edema Detection
arxiv.org·4h
🌀Riemannian Computing
MaNGO - Adaptable Graph Network Simulators via Meta-Learning
arxiv.org·1d
🕸️Tensor Networks
TRepLiNa: Layer-wise CKA+REPINA Alignment Improves Low-Resource Machine Translation in Aya-23 8B
arxiv.org·4h
🎙️Whisper
Neural Network-Based Anomaly Detection in CI/CD Pipelines: A Technical Overview
dev.to·4h·
Discuss: DEV
🧠Learned Compression
Efficient Quantum Field Theory Simulations via Hybrid Tensor Network & Variational Autoencoder Approach
dev.to·4d·
Discuss: DEV
🕸️Tensor Networks
LLM-Guided Evolutionary Program Synthesis for Quasi-Monte Carlo Design
arxiv.org·2d
📼Tape Combinators
Benchmark on Monocular Metric Depth Estimation in Wildlife Setting
arxiv.org·2d
🏺Computational Archaeology
ECLipsE-Gen-Local: Efficient Compositional Local Lipschitz Estimates for Deep Neural Networks
arxiv.org·1d
🌀Riemannian Computing
Ensemble Deep Learning and LLM-Assisted Reporting for Automated Skin Lesion Diagnosis
arxiv.org·4h
🧠Machine Learning
Addressing the ID-Matching Challenge in Long Video Captioning
arxiv.org·4h
📐Vector Similarity
Quantifying the Accuracy-Interpretability Trade-Off in Concept-Based Sidechannel Models
arxiv.org·1d
🧠Machine Learning
ARMOR: High-Performance Semi-Structured Pruning via Adaptive Matrix Factorization
arxiv.org·1d
🧠Machine Learning
Logistic-Gated Operators Enable Auditable Unit-Aware Thresholds in Symbolic Regression
arxiv.org·1d
📐Error Bounds