Reviving Europe's historical scents—including 'the smell of hell'
phys.org·1d
🌍Cultural Computing
“Advancing the Scientific Study of Structural Racism: Concepts, Measures, and Methods”
statmodeling.stat.columbia.edu·17h
⚙️systems theory
From Tables to Relationships: Visualizing Iceberg Data as a Graph
blog.min.io·2d
🔄Sync Engine
Book Review: Developing Talent in Young People by Benjamin Bloom
justinmath.com·2d·
Discuss: Hacker News
🔲Cellular Automata
Saturday Citations: Upside-down sharks; brain network functioning in psychopaths; IQ associated with better predictions
phys.org·1d
🔲Cellular Automata
MergerFS: Combine numerous filesystems into a single mount point
github.com·13h·
Discuss: Hacker News
📦Content Addressable
Vibe Coding Is Not an Advantage
asindu.xyz·2d·
Discuss: Hacker News
🔩Systems Programming
The Future of AI Is Physical: Simulation Is Key
website-staging.inductiva.ai·2d·
Discuss: Hacker News
🔲Cellular Automata
Conceptual synaesthesia as cognitive literacy
madinamerica.com·1d·
Discuss: Hacker News
📼Tape Linguistics
Efficient Malware Detection with Optimized Learning on High-Dimensional Features
arxiv.org·6d
🦠Malware Analysis
Using Human Stories to Bring Critical Work on AI to the General Public
exposingtheinvisible.org·1d
🧭Content Discovery
A Multi-view Divergence-Convergence Feature Augmentation Framework for Drug-related Microbes Prediction
arxiv.org·6d
🧠Machine Learning
What is Vibe Coding? AI’s Latest Coding Trend [Explained]
dev.to·1h·
Discuss: DEV
🎙️Whisper
Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy
arxiv.org·3d
🛡️Differential Privacy
Generalizable Neural Electromagnetic Inverse Scattering
arxiv.org·3d
🧠Neural Compression
VCV: Still Waiting For A Better Entry Point
seekingalpha.com·2h
💰Archive Economics
Radiomic fingerprints for knee MR images assessment
arxiv.org·4d
🧲Magnetic Resonance
Building a Full-Stack E-Commerce Website in 4 Weeks
dev.to·20h·
Discuss: DEV
🦋Format Metamorphosis
Machine Learning Fundamentals: adam optimizer example
dev.to·3d·
Discuss: DEV
📊Quantization
LLMs for Customized Marketing Content Generation and Evaluation at Scale
arxiv.org·6d
📊Feed Optimization