Q&A: How mathematics can reveal the depth of deep learning AI
phys.org·22h
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Unlock the Power of GANs: Train with Tiny Datasets!
dev.to·1d·
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Topographical sparse mapping: A training framework for deep learning models
sciencedirect.com·1d·
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Generative deep learning for foundational video translation in ultrasound
arxiv.org·6h
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Continuous Autoregressive Language Models
shaochenze.github.io·1d·
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An introduction to program synthesis (Part II) - Automatically generating features for machine learning
mchav.github.io·1d·
Discuss: r/programming
📊data science
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Neural Green's Functions
arxiv.org·1d
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Friday 5 December 2025 - 11am
informatics.ed.ac.uk·1d
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Decoupling Augmentation Bias in Prompt Learning for Vision-Language Models
arxiv.org·6h
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Instead of 1000 Apps: DeepL wants one agent to operate them all
heise.de·2h
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This website makes self-learning with YouTube so much easier
aitutorly.ai·1d·
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AI Papers to Read in 2025
towardsdatascience.com·13h
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Unlocking the Brain of AI: How Neural Networks Are Changing Everything
dev.to·20h·
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Unlock Multi-Domain NLP: Adapt Pre-trained Models Without the Heavy Lifting
dev.to·2h·
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Gated DeltaNet (Linear Attention variant in Qwen3-Next and Kimi Linear)
sebastianraschka.com·3d·
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Physics-driven self-supervised learning for 3D light-field microscopy
nature.com·9h·
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NEW: Get a lifetime subscription to 1ForAll AI for only $29.99
neowin.net·14h
📡RSS
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Yes, you should understand backprop (2016)
karpathy.medium.com·4d·
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Don’t Just Normalize, Batch Normalize! A Guide to Stable Neural Networks
pub.towardsai.net·3d
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Probabilistic Robustness for Free? Revisiting Training via a Benchmark
arxiv.org·2d
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