A Standard for Human-Centered Investigation Playbooks
chrissanders.org·1h
🎯Threat Hunting
UNESCO appoints Indigenous co-chairs to protect languages and knowledge amid climate crisis
grist.org·11h
🌍Cultural Computing
Possible multiple rapid northern routes for 2nd Neanderthal dispersal to Eurasia
journals.plos.org·2d·
Discuss: Hacker News
🏺Computational Archaeology
Smart amplifier cuts power consumption, paving way for more qubits and less decoherence
phys.org·4h
⚛️Quantum Tape
I Figured Out What the Voynich Manuscript Says; It's Something More Than Words
dmerullo.substack.com·5h·
Discuss: Substack
🏰Manuscript Networks
Towards a Unified Textual Graph Framework for Spectral Reasoning via Physical and Chemical Information Fusion
arxiv.org·1d
📊Spectral Graphs
A large deviation view of \emph{stationarized} fully lifted blirp interpolation
arxiv.org·16h
📐Compression Bounds
Web Du Bois – data scientist (2022)
blog.engora.com·17h·
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📊Citation Graphs
Algebraic Structures in Microtonal Music
arxiv.org·1d
🎼Audio Lambda Calculus
Signal Use and Emergent Cooperation
arxiv.org·16h
🔲Cellular Automata
Watching the world, one quintillionth of a second at a time
knowablemagazine.org·1d·
Discuss: Hacker News
🔬Optical Physics
Object-aware Sound Source Localization via Audio-Visual Scene Understanding
arxiv.org·1d
👂Psychoacoustic Coding
The World is a Fractal – a mental model for navigating the depth of knowledge
blog.satpugnet.com·2h·
Discuss: Hacker News
📐Mathematical Art
Deep-OFDM: Neural Modulation for High Mobility
arxiv.org·1d
🧠Neural Codecs
Suno 4.5 VS Google’s Lyria 2: Which is Better
dev.to·6h·
Discuss: DEV
🎵Audio Streaming
What Problems to Solve – By Richard Feynman
genius.cat-v.org·2h·
Discuss: Hacker News
⚛️Information Physics
Simultaneous Identification of Coefficients and Source in a Subdiffusion Equation from One Passive Measurement
arxiv.org·1d
📐Linear Algebra
From High-SNR Radar Signal to ECG: A Transfer Learning Model with Cardio-Focusing Algorithm for Scenarios with Limited Data
arxiv.org·16h
🧲Magnetic Resonance
Machine Learning Fundamentals: active learning project
dev.to·4h·
Discuss: DEV
🧠Machine Learning
DRIFT: Data Reduction via Informative Feature Transformation- Generalization Begins Before Deep Learning starts
arxiv.org·16h
🧠Machine Learning