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  • All (20993) +299
    • AI (3155) +14
    • DevOps (933) +7
    • Software (11054) +203
    • IT (5802) +74
    • Education (48)
  • Notice
  • All (20993) +299
  • AI (3155) +14
  • DevOps (933) +7
  • Software (11054) +203
  • IT (5802) +74
  • Education (48)
  • Notice
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  • 2 weeks ago · ai

    Remove CapCut Watermark with AI — How We Built a Flicker-Free Video Inpainting System

    !Cover image for Remove CapCut Watermark with AI — How We Built a Flicker‑Free Video Inpainting Systemhttps://media2.dev.to/dynamic/image/width=1000,height=420,...

    #CapCut #watermark removal #video inpainting #AI restoration #deep learning #computer vision #flicker‑free video #video editing
  • 3 weeks ago · ai

    Part 2: Why Transformers Still Forget

    Part 2 – Why Long‑Context Language Models Still Struggle with Memory second of a three‑part series In Part 1https://forem.com/harvesh_kumar/part-1-long-context-...

    #transformers #long-context #memory #language-models #deep-learning #AI-research
  • 3 weeks ago · ai

    When Neural Networks Stop Learning: Understanding Vanishing Gradients

    What is the Vanishing Gradient Problem? In neural networks, the gradient tells the network how much to change each weight to reduce the error. If the gradient...

    #vanishing gradient #neural networks #deep learning #gradient descent #sigmoid activation
  • 3 weeks ago · ai

    Deep Graph Contrastive Representation Learning

    Overview Imagine a map of friends, streets, or web pages where each dot links to others—that is a network. Scientists proposed a simple idea: create two slight...

    #graph neural networks #contrastive learning #unsupervised learning #representation learning #graph embeddings #deep learning
  • 3 weeks ago · ai

    Exploring TabPFN: A Foundation Model Built for Tabular Data

    Understanding the architecture, training pipeline and implementing TabPFN in practice The post Exploring TabPFN: A Foundation Model Built for Tabular Data appea...

    #TabPFN #foundation models #tabular data #machine learning #deep learning
  • 3 weeks ago · ai

    Understanding Gradients: The Engine Behind Neural Network Learning

    In the previous article, we explored activation functions and visualized them using Python. Now, let’s see what gradients are. What Is a Gradient? Neural networ...

    #gradients #neural networks #backpropagation #machine learning #deep learning #training #activation functions
  • 3 weeks ago · ai

    TurboDiffusion: 100–200× Acceleration for Video Diffusion Models

    Article URL: https://github.com/thu-ml/TurboDiffusion Comments URL: https://news.ycombinator.com/item?id=46388907 Points: 13 Comments: 3...

    #diffusion models #video generation #model acceleration #TurboDiffusion #deep learning #generative AI #GPU optimization
  • 3 weeks ago · ai

    WiFi DensePose: WiFi-based dense human pose estimation system through walls

    Article URL: https://github.com/ruvnet/wifi-densepose Comments URL: https://news.ycombinator.com/item?id=46388904 Points: 10 Comments: 1...

    #WiFi #DensePose #human pose estimation #computer vision #through walls #deep learning #open-source #research
  • 3 weeks ago · ai

    Deep Convolutional Networks on Graph-Structured Data

    Overview Most smart machines have become amazing at processing photos and sound because those data types have clear patches and layers. However, text, genes, a...

    #graph neural networks #deep learning #graph convolutional networks #graph-structured data #model efficiency
  • 3 weeks ago · ai

    Keeping Probabilities Honest: The Jacobian Adjustment

    An intuitive explanation of transforming random variables correctly. The post Keeping Probabilities Honest: The Jacobian Adjustment appeared first on Towards Da...

    #probability #jacobian #random-variable-transformation #statistics #machine-learning #deep-learning #probabilistic-models
  • 3 weeks ago · ai

    Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation,Progression Assessment, and Overall Survival Predi

    How machines learn to find and track brain tumors on MRI ======================================================== Brain tumors come in different shapes, making...

    #machine learning #medical imaging #brain tumor segmentation #MRI #BraTS challenge #survival prediction #deep learning #healthcare AI
  • 3 weeks ago · ai

    AutoAugment: Learning Augmentation Policies from Data

    Overview AutoAugment is a method that automatically discovers effective image augmentation policies. By systematically testing many simple transformations—such...

    #autoaugment #data augmentation #computer vision #image classification #machine learning #deep learning #neural networks

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