Turing, Wagner, Ruth
blog.computationalcomplexity.org·2d·
Discuss: blog.computationalcomplexity.org
📐Mathematical Art
Training a Chunker with Burn
elijahpotter.dev·2d·
Discuss: Hacker News
📝Concrete Syntax
Silence Is a Commons by Ivan Illich (1983)
davidtinapple.com·2h·
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🧲Magnetic Philosophy
Terrashroom Last Company Update
terrashroom.io·1d·
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🖥️Terminal Renaissance
What's More Advanced Than AI? Quantum AI Is the Next Leap Forward
cnet.com·5h·
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🔐Quantum Security
Netflix’s first show with generative AI is a sign of what’s to come in TV, film
arstechnica.com·5h
🎧Learned Audio
North Korea bans foreign tourists to newly opened beach resort
the-independent.com·16h
🏰Varberg
Should Teens Vote?
nytimes.com·12h
🔑Cryptographic Protocols
MatrixTransformer–A Unified Framework for Matrix Transformations
news.ycombinator.com·4d·
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🕸️Tensor Networks
Show HN: I built a self-learning AI without an LLM – memory, reflection
news.ycombinator.com·1d·
Discuss: Hacker News
🎙️Whisper
On the origins of life: Metabolic activity successfully incorporated into synthetic cell membranes
phys.org·1d
🔲Cellular Automata
Robust 3D-Masked Part-level Editing in 3D Gaussian Splatting with Regularized Score Distillation Sampling
arxiv.org·2d
🏺Computational Archaeology
Exploring Gender Bias in Alzheimer's Disease Detection: Insights from Mandarin and Greek Speech Perception
arxiv.org·1d
📡Information theory
Trying to Run AI on Low-End Devices? Here’s What We Learned
dev.to·1d·
Discuss: DEV
🌀Brotli Internals
Unveiling the Visual Rhetoric of Persuasive Cartography: A Case Study of the Design of Octopus Maps
arxiv.org·1d
📄PostScript
Study reveals how gene expression evolves
phys.org·9h
🦴Binary Paleontology
From Novelty to Imitation: Self-Distilled Rewards for Offline Reinforcement Learning
arxiv.org·19h
📊Learned Metrics
Regions Financial Corporation (RF) Q2 2025 Earnings Call Transcript
seekingalpha.com·5h
📰Feed Readers
Resource Cleanup in Go Web Servers: Lessons from Nursery School
dev.to·12h·
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💾Persistence Strategies
Mastering Dimensionality Reduction: A Comprehensive Guide to PCA, t-SNE, UMAP, and Autoencoders
dev.to·1d·
Discuss: DEV
📐Vector Dimensionality