National Cybersecurity Awareness Month: Exorcising the ghosts of forgotten devices
runzero.com·21h
🛡Cybersecurity
‘Shine a light’ — ending the exile of being too far from Main Street
blog.apnic.net·6h
🕸️Mesh Networks
Efficiently Updatable Neural Network (NNUE)
beuke.org·2d
📊Quantization
Qt 6.10 Released With Flexbox Layout, New SearchField
linuxiac.com·19h
🎬WebCodecs
A Computing Legend Speaks
computerhistory.org·19h·
Discuss: Hacker News
🖥Retro Computing
I/O Multiplexing (select vs. poll vs. epoll/kqueue)
nima101.github.io·7h·
Discuss: Hacker News
🌊Stream Processing
2025 Hackaday Supercon: More Wonderful Speakers
hackaday.com·1d
⚙️DIY Electronics
Three-dimensional Integrated Guidance and Control for Leader-Follower Flexible Formation of Fixed Wing UAVs
arxiv.org·7h
🔲Cellular Automata
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·7h
🧠Machine Learning
Addressing the ID-Matching Challenge in Long Video Captioning
arxiv.org·7h
📐Vector Similarity
ARMOR: High-Performance Semi-Structured Pruning via Adaptive Matrix Factorization
arxiv.org·1d
🧠Machine Learning
Quantifying the Accuracy-Interpretability Trade-Off in Concept-Based Sidechannel Models
arxiv.org·1d
🧠Machine Learning
Logistic-Gated Operators Enable Auditable Unit-Aware Thresholds in Symbolic Regression
arxiv.org·1d
📐Error Bounds
Efficient Quantum Field Theory Simulations via Hybrid Tensor Network & Variational Autoencoder Approach
dev.to·4d·
Discuss: DEV
🕸️Tensor Networks
Conformalized Gaussian processes for online uncertainty quantification over graphs
arxiv.org·1d
🧮Kolmogorov Bounds
Nobel chemistry prize awarded for crystal materials that could revolutionize green technology
phys.org·17h
⏰Time Crystals
A Noise Resilient Approach for Robust Hurst Exponent Estimation
arxiv.org·2d
🧠Machine Learning
P2P: A Poison-to-Poison Remedy for Reliable Backdoor Defense in LLMs
arxiv.org·2d
💻Local LLMs
Efficient Test-Time Scaling for Small Vision-Language Models
arxiv.org·2d
🗜️LZW Variants