🤖 AI

LLM, Diffusion, Computer Vision, Statistical Learning, GAN, Vector

Covariant spatio-temporal receptive fields for spiking neural networks
nature.com·1h·
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Parallelization Strategies in Neural Networks
nwktimes.blogspot.com·19h·
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Reflections on Random Kitchen Sinks
archives.argmin.net·1d·
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The Oscar Winning Algorithm
sangarshanan.com·10h·
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LLMs Are Adaptive Data Organisms
worldgov.org·10h·
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LLMs from Scratch Using Middle School Math – TDS Archive
medium.com·2d·
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Show HN: Reverse vs. Vectorized Forward Ad: A Performance Exploration in C
raph5.github.io·16h·
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“I Mapped the Invisible”: An American High-School Student Stuns Scientists by Discovering 1.5 Million Lost Space Objects
dailygalaxy.com·1d·
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GLM 4.5 with Claude Code is a killer combination
docs.z.ai·1d·
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Wrote an in-depth blog on scaling modern transformers with n-D parallelism
jaxformer.com·12m·
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The Perceptron
jontysinai.github.io·1d·
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LifeGPT: Generative pretrained transformer model for cellular automata
nature.com·19h·
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LLMs, Quantum Measurement, and a Primitive of Consciousness
understoryai.substack.com·19h·
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The Trillion Dollar Chart
blog.charliemeyer.co·2d·
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Understanding Transformers Using a Minimal Example
rti.github.io·3d·
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EmbeddingGemma - 300M parameter, state-of-the-art for its size, open embedding model from Google
huggingface.co·2d·
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Variational Elastodynamic Simulation Siggraph 2025
lmattos.com·11h·
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ML Systems: Motivating Dense Models
jacobkahn.me·3d·
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ML model evaluation techniques may be hiding new developments in AI
arielos.substack.com·2d·
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A PyTorch plugin to rethink AI's core
forbes.com·2d·
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