Resource-Efficient and Robust Inference of Deep and Bayesian Neural Networks on Embedded and Analog Computing Platforms
arxiv.org·2d
🧠Machine Learning
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Building a Rules Engine from First Principles
towardsdatascience.com·2d
🔗Combinatory Logic
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Meta's Free Transformer introduces a new approach to LLM decision-making
the-decoder.com·10h
📄Document AI
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Stochastic computing
scottlocklin.wordpress.com·1d
🏴Scottish Computing
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Text rendering and effects using GPU-computed distances
blog.pkh.me·5h
📐Mathematical Art
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AI Experiments: Fast Inference with Groq and Third-Party Tools with Kimi K2 in TypingMind
macstories.net·2d
🌀Brotli Dictionary
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Automated Anomaly Detection & Root Cause Analysis in Complex System Simulations via Adaptive Bayesian Networks
⚡Incremental Computation
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Neural active manifolds: nonlinear dimensionality reduction for uncertainty quantification
arxiv.org·1d
🌀Riemannian Computing
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Revealing the Unseen: AI-Powered Super-Resolution from Extreme Noise by Arvind Sundararajan
🎧Learned Audio
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Everything About Transformers
krupadave.com·2d
📝Text Parsing
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From Lossy to Lossless Reasoning
🔨Compilers
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Quantized Differential Privacy via Learned Noise Injection & Adaptive Clipping (QDP-LAIC)
🛡️Differential Privacy
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Statistical physics of deep learning: Optimal learning of a multi-layer perceptron near interpolation
arxiv.org·3d
🧠Machine Learning
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Wireless Sensor Networks as Parallel and Distributed Hardware Platform for Artificial Neural Networks
arxiv.org·1d
📼Cassette Combinators
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How fast can an LLM go?
🎯Emulator Accuracy
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