Deep Learning for Molecules and Materials
dmol.pub·20h·
Discuss: Hacker News
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AI's New Backbone: Distance-Optimized Neural Nets for Robust Hardware
dev.to·1d·
Discuss: DEV
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Nested Learning: The Illusion of Deep Learning Architectures
arxiviq.substack.com·13h·
Discuss: Substack
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BitNetMCU with CNN: >99.5% MNIST accuracy on a low-end Microcontroller
cpldcpu.com·1d
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Understanding Convolutional Neural Networks
pub.towardsai.net·3d
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What is Artificial Intelligence? A Simple Explanation for Everyone
saaslyai.com·50m·
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Nested Learning: How Your Neural Network Already Learns at Multiple Timescales
rewire.it·11h
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Hybrid Autoencoders for Tabular Data: Leveraging Model-Based Augmentation in Low-Label Settings
arxiv.org·51m
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You Can't Unbake a Cake (or Why Data Isolation in the Age of AI is BASICALLY Impossible)
dev.to·11h·
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Adaptive AI: Making Edge Inference Smart and Fast by Arvind Sundararajan
dev.to·8h·
Discuss: DEV
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SE-Res-U-Net: an improved U-Net architecture for efficient sleep state detection and classification
nature.com·1d
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Beyond Softmax: Dual-Branch Sigmoid Architecture for Accurate Class Activation Maps
arxiv.org·51m
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Explainable Deep Learning-based Classification of Wolff-Parkinson-White Electrocardiographic Signals
arxiv.org·51m
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Transforming animation with machine learning
medium.com·1d
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Robust Layerwise Scaling Rules by Proper Weight Decay Tuning
paperium.net·1d·
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Attention and Compression is all you need for Controllably Efficient Language Models
arxiv.org·1d
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Deep Learning Without Training
zenodo.org·3d·
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Can Training Dynamics of Scale-Invariant Neural Networks Be Explained by the Thermodynamics of an Ideal Gas?
arxiv.org·51m
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