Unlocking AI Potential: Squeezing Giant Models into Tiny Spaces
💎Information Crystallography
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TinyML is the most impressive piece of software you can run on any ESP32
xda-developers.com·2d
⚡Homebrew CPUs
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Computational Complexity and Explanations in Physics
gilkalai.wordpress.com·3h
⚛️Quantum Algorithms
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Resource-Efficient and Robust Inference of Deep and Bayesian Neural Networks on Embedded and Analog Computing Platforms
arxiv.org·3d
🧠Machine Learning
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MobileNetV3 Paper Walkthrough: The Tiny Giant Getting Even Smarter
towardsdatascience.com·12h
⧗Information Bottleneck
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Can-t stop till you get enough
🦀Rust Macros
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Machine Learning Fundamentals: Everything I Wish I Knew When I Started
🧠Machine Learning
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Meta's Free Transformer introduces a new approach to LLM decision-making
the-decoder.com·1d
📄Document AI
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Stochastic computing
scottlocklin.wordpress.com·2d
🏴Scottish Computing
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Surrey Uni show AI systems based on the human brain's save energy
🏴Scottish Computing
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Hybrid Neuro-Symbolic Reasoning for Adaptive Robotics Control in Dynamic Environments
✨Algebraic Effects
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Our newest model: Chandra (OCR)
🤖Advanced OCR
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Building a Rules Engine from First Principles
towardsdatascience.com·3d
🔗Combinatory Logic
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