The Strategic Necessity of Forgiveness in Global Diplomacy: Moving Beyond the Past to Shape the Future
kkrva.se·1d
🔐Systems Hardening
Thoughts on creating a tracking pointer class, part 6: Non-modifying trackers
devblogs.microsoft.com·19h
🦀Rust Borrowing
The Supreme Being
newenglishreview.org·1d
🏛️Philosophy
Unresolved debates about the future of AI
helentoner.substack.com·2d·
Discuss: Substack
🤖AI Curation
Misunderstood “photophoresis” effect could loft metal sheets to exosphere
arstechnica.com·4d·
Discuss: Hacker News, r/technews
⚙️Tape Transport
The End of Handwriting
wired.com·23h·
Discuss: Hacker News
📜Document Physics
Is Elon Musk’s Starship Doomed?
jeffwise.net·8h
🖥️Modern Terminals
How do Data Journalists Design Maps to Tell Stories?
arxiv.org·1d
🔶Voronoi Diagrams
Connecting A Fresh Node
tedium.co·2d
🖥️Terminal Renaissance
Career Growth Requires Singular Focus
spectrum.ieee.org·17h
🖥️Modern Terminals
The Hidden Tech Revolution in Your Kitchen
dev.to·2d·
Discuss: DEV
🧮Algorithmic Cooking
SO-PIFRNN: Self-optimization physics-informed Fourier-features randomized neural network for solving partial differential equations
arxiv.org·1d
🌀Riemannian Computing
Data Diversity as Implicit Regularization: How Does Diversity Shape the Weight Space of Deep Neural Networks?
arxiv.org·1d
📊Learned Metrics
Metric, Imperial, and Flexibility
hackaday.com·2d
🔗Topological Sorting
Nested Operator Inference for Adaptive Data-Driven Learning of Reduced-order Models
arxiv.org·1d
📊Quantization
Self-generating catalyst overcomes durability limits for hydrogen production
phys.org·19h
☕Precision Brewing
Automated Anomaly Detection in Exoplanetary Transit Lightcurves via Fourier-Phase Space Analysis
dev.to·1d·
Discuss: DEV
💿Optical Forensics
Real-Time Anomaly Detection in Semiconductor Wafer Inspection via Multi-Modal Fusion & HyperScore Validation
dev.to·3d·
Discuss: DEV
💿Optical Forensics
Enhanced Resin Selectivity via Dynamic Pore Engineering in Ion Exchange
dev.to·3d·
Discuss: DEV
☕Coffee Chemistry
Fluid Dynamics and Domain Reconstruction from Noisy Flow Images Using Physics-Informed Neural Networks and Quasi-Conformal Mapping
arxiv.org·1d
🌀Riemannian Computing