What makes a quantum computer good?
newscientist.com·1d
⚛️Quantum Tape
The outside investigation of SoftRAM 95
devblogs.microsoft.com·10h·
Discuss: Hacker News
💾Memory Mapping
Actually finding vulnerabilities using AI with Joshua Rogers
opensourcesecurity.io·1d·
Discuss: Hacker News
🚀Indie Hacking
SecurityFilterChain Explained: The Secret Sauce Behind Spring Security
infosecwriteups.com·7h
🔒WASM Capabilities
Blessed – Terminal Interaction Made Easy in python
dev.to·11h·
Discuss: DEV
🪟Awesome windows command-line
The Trillion Dollar AI Software Development Stack
a16z.com·3d·
Discuss: Hacker News
⚡Proof Automation
Strengthening Software Trust in Modern DevOps Workflows
devops.com·1h
🔗Supply Chain
sqrtVINS: Robust and Ultrafast Square-Root Filter-based 3D Motion Tracking
arxiv.org·16h
🗜️LZW Variants
Training Models to Detect Successive Robot Errors from Human Reactions
arxiv.org·1d
🧠Machine Learning
Understanding Sampler Stochasticity in Training Diffusion Models for RLHF
arxiv.org·16h
🧠Machine Learning
CSI Prediction Using Diffusion Models
arxiv.org·16h
ℹ️Information Theory
VisRAG 2.0: Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation
arxiv.org·16h
🗂️Vector Search
When Does Supervised Training Pay Off? The Hidden Economics of Object Detection in the Era of Vision-Language Models
arxiv.org·16h
🧠Machine Learning
GapDNER: A Gap-Aware Grid Tagging Model for Discontinuous Named Entity Recognition
arxiv.org·16h
💾Binary Linguistics
Tech With Tim: ULTIMATE AI Coding Tutorial with Warp Code
dev.to·2h·
Discuss: DEV
🎬WebCodecs
Congrats to the Heroku "Back to School" AI Challenge Winners!
dev.to·1d·
Discuss: DEV
🏴󠁧󠁢󠁳󠁣󠁴󠁿Scottish Computing
Simulate, Then Innovate: The AI Revolution Powered by Differentiable Physics
dev.to·1d·
Discuss: DEV
⚡Incremental Computation
Transfer Learning with Distance Covariance for Random Forest: Error Bounds and an EHR Application
arxiv.org·16h
🧠Machine Learning
I Built a SaaS Without Looking at a Single Competitor. Here’s What I Learned
dev.to·1h·
Discuss: DEV
🚀Indie Hacking
FOSSIL: Regret-Minimizing Curriculum Learning for Metadata-Free and Low-Data Mpox Diagnosis
arxiv.org·16h
🦴Binary Paleontology