Stop Using Grey Text
catskull.net·2h
🖋Typography
Gunnar Wolf: The comedy of computation, or, how I learned to stop worrying and love obsolescence
gwolf.org·2d
🧲Magnetic Philosophy
Data Is the New Diamond: Heists in the Digital Age
unit42.paloaltonetworks.com·23h
🎯Threat Hunting
The 7 Best Whole-House Surge Protectors for Major Appliances and Electronics
popularmechanics.com·4h
🏠Home Automation
Fine-Tuning and Deploying GPT Models Using Hugging Face Transformers
blog.jetbrains.com·2d
🤖Grammar Induction
Multimodal Siamese networks for dementia detection from speech in women
nature.com·3d·
Discuss: Hacker News
🤖Advanced OCR
Why Large Organizations Shouldn’t Miss PDF Days Europe 2025
pdfa.org·9h
📄PDF Archaeology
Haboob, part 2
languagelog.ldc.upenn.edu·3h
🔤Morphological Analysis
Global phenology maps reveal the drivers and effects of seasonal asynchrony
nature.com·6h
🧊Arctic Storage
This 24-inch reflective LCD screen is an interesting alternative to expensive e-ink monitors, but I struggle to see who will use it
techradar.com·1h
🖥️Modern Terminals
Accelerating legacy code modernization: EPAM’s journey with Amazon Q Developer
aws.amazon.com·1d
🔄Reproducible Builds
Hybrid Quantum-Classical Learning for Multiclass Image Classification
arxiv.org·1d
⚛️Quantum Codes
L-XAIDS: A LIME-based eXplainable AI framework for Intrusion Detection Systems
arxiv.org·1d
🔍Vector Forensics
Socioeconomic Threats of Deepfakes and the Role of Cyber-Wellness Education in Defense
cacm.acm.org·5h
📼Cassette Hacking
A Tie-breaking based Local Search Algorithm for Stable Matching Problems
arxiv.org·1d
🌸Bloom Variants
Digital Asset Management Demos and Proof of Concepts
weareavp.com·7h
🏺ZIP Archaeology
Accelerating Historical K-Core Search in Temporal Graphs
arxiv.org·1d
🕸️Neo4j
Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media
arxiv.org·2d
🔍BitFunnel
LingVarBench: Benchmarking LLM for Automated Named Entity Recognition in Structured Synthetic Spoken Transcriptions
arxiv.org·2d
⚙️Compression Benchmarking
Automated Multi-label Classification of Eleven Retinal Diseases: A Benchmark of Modern Architectures and a Meta-Ensemble on a Large Synthetic Dataset
arxiv.org·2d
🧠Machine Learning