My favourite goal: Lionel Messi and Refik Anadol team up for pioneering digital art work
euronews.com·1d
📲Digitization
5 tips for getting started with Flow
blog.google·1d
🏛Digital humanities
davidchisnall/igk: I got Knuth'd: A compiler for documents
github.com·2d
📝Concrete Syntax
Judge Alsup: Training AI On Copyrighted Works? Fair Use. Building Pirate Libraries? Not So Much
techdirt.com·17h
⚖️Emulation Ethics
Seeing like a STEM
overcomingbias.com·2d·
Discuss: Hacker News
🏛Digital humanities
Show HN: AI-gent Workflows – locally reasoning AI Agents
ai-gents.work·22h·
Discuss: Hacker News
⚡Proof Automation
Stretching Beyond the Obvious: A Gradient-Free Framework to Unveil the Hidden Landscape of Visual Invariance
arxiv.org·4d
📊Learned Metrics
Charge-spin coupling in room-temperature 2D ferromagnetic material
phys.org·14h
⚛️Information Physics
New hybrid quantum–classical computing approach used to study chemical systems
phys.org·1d
⚛️Quantum Algorithms
The 90% Gravity Problem: Why We Tend to Quit Right Before the Finish Line
news.ycombinator.com·2h·
Discuss: Hacker News
🌡️Preservation Physics
Fast solvers for the high-order FEM simplicial de Rham complex
arxiv.org·3d
🕸️Algebraic Topology
Beyond Static Models: Hypernetworks for Adaptive and Generalizable Forecasting in Complex Parametric Dynamical Systems
arxiv.org·2d
📈Time Series
Causal Operator Discovery in Partial Differential Equations via Counterfactual Physics-Informed Neural Networks
arxiv.org·1d
🌀Differential Geometry
SMOTE or Synthetic Data for Handling Class Imbalance? I Wrote About It on ThinkML
dev.to·5h·
Discuss: DEV
💧Liquid Types
PsyLite Technical Report
arxiv.org·5h
📄Document Digitization
Coherent bunching of anyons and dissociation in an interference experiment
nature.com·1d
⚛️Quantum Channels
Flame Graph Performance Truth Analysis（1750918443851900）
dev.to·1d·
Discuss: DEV
⚡Performance Tools
AI-Driven MRI-based Brain Tumour Segmentation Benchmarking
arxiv.org·5h
🧠Machine Learning
Structural System Identification via Validation and Adaptation
arxiv.org·5h
🧠Machine Learning
Python course: Functions
dev.to·14h·
Discuss: DEV
🔗Lisp