Learning from open source PHP projects - Part 2 - Static analysis
quentin.delcourt.be·1d
🔍Static Analysis
Jolted Back To The Japanese Track
jasonjournals.com·2d
🧩Theorem Proving
Custom Dialogue/Quest/Cutscene System Breakdown
ko-fi.com·1d·
Discuss: r/godot
🧫Cellular Automata
QNAP Qu405, Qu605 and Qu805 NAS Revealed
nascompares.com·1d
📊Information Theory
‘You want to talk about a world of lies?’ Teaching philosophy in prison | Jay Miller
theguardian.com·1d
🔢Mathematical Logic
Social Isolation and Stuff
get-rich-slow.com·1d
📊Information Theory
False Confidence
theaiunderwriter.substack.com·2d·
Discuss: Substack
🎲Probabilistic Programming
15.3 Goat Vehicle Religion
preview.redd.it·1d·
Discuss: r/LifeTree
🔢Mathematical Logic
Nano Banana vs. Qwen Image: Which is Better?
analyticsvidhya.com·1d
🔧Compiler Design
OpenAI Says AI Hallucinations Are Systemic, Not a Bug
pymnts.com·1d
🎲Probabilistic Programming
15 of the Best Shifter Romance Books
bookriot.com·2d
🧮Programming Language Theory
Guardian AI: Verifying Billion-Parameter Models on the Edge by Arvind Sundararajan
dev.to·1d·
Discuss: DEV
🧭SMT Solvers
The immune receptor SLAMF5 regulates myeloid-cell mediated neuroinflammation in multiple sclerosis
journals.plos.org·2d
🧫Cellular Automata
Hybrid Quantum-Classical Learning of Nonlinear Entanglement Witnesses via Continuous-Variable Quantum Neural Networks
arxiv.org·1d
🔐Cryptography
DOE experimental condensed matter PI meeting, + other items
nanoscale.blogspot.com·2d·
Discuss: www.blogger.com
🌍Distributed Systems
How to watch Cubs at Braves: TV channel and streaming options for September 8
nytimes.com·2d
🧫Cellular Automata
AI: Your Co-Pilot in the Quest for Scientific Discovery
dev.to·1d·
Discuss: DEV
🎲Probabilistic Programming
Developer claims Nintendo is stalling on providing Switch 2 dev kits to free-to-play game studios, but that might not be the real issue - AUTOMATON
news.google.com·17h
🧫Cellular Automata
Help! I Moved Across the World for My Husband. Apparently, That Still Isn’t Enough.
slate.com·12h
🧫Cellular Automata
A Study of Large Language Models for Patient Information Extraction: Model Architecture, Fine-Tuning Strategy, and Multi-task Instruction Tuning
arxiv.org·2d
🔗Parser Combinators