When AI optimizations miss the mark: A case study in array shape calculation
questdb.com·2h·
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🎲procedural generation
how to decide on the sequence of computable numbers
academia.edu·12h·
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📚Programming language theory
original ↗
pvk.ca·2d·
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📚Programming language theory
Simpler Category Theory
ryanbrewer.dev·1d·
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📚Programming language theory
For which cases does AI help with classification (medical diagnosis example)?
statmodeling.stat.columbia.edu·2h
👁️computer vision
SPL Lightweight Multisource Mixed Computation Practices
github.com·1d·
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🌐Distributed systems
A Systematic Study of Post-Training Quantization for Diffusion LLMs
arxiv.org·14h·
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📚Programming language theory
How do LSM Trees work?
rowjee.com·21h·
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🌐Distributed systems
Compute Where It Counts: a trainable LLM sparsity enabling 4x CPU speed
crystalai.org·20h·
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👁️computer vision
Double Maths First Thing: Issue 32
aperiodical.com·1d
🧠Meta-creativity
Quantifying Baseball Pitch Tunneling with K-Nearest Neighbors
runningonnumbers.com·1d·
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👁️computer vision
Cabinet: Dynamically Weighted Consensus Made Fast
muratbuffalo.blogspot.com·6h·
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🌐Distributed systems
Lisp in 99 Lines of C With TinyLisp
hackaday.com·1d
📚Programming language theory
Building Code Retrieval for Claude Code from Scratch
zc277584121.github.io·2d·
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🛠️Creative Coding Frameworks
Dyna – Logic Programming for Machine Learning
dyna.org·4d·
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📚Programming language theory
Linkage from Toronto
11011110.github.io·5d
📚Programming language theory
Contrasting Data and Objects (2018)
tedinski.com·10h·
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📚Programming language theory
Show HN: I built a toy TPU that can do inference and training on the XOR problem
tinytpu.com·2d·
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⚡Real-time Graphics
numexpr: fast numerical array expression evaluator for Python
github.com·3h·
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📚Programming language theory
Building a Regex Engine
abstractsyntaxseed.com·1d·
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📚Programming language theory