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  • All (2544) +222
    • AI (576) +17
    • DevOps (149) +1
    • Software (1083) +148
    • IT (730) +55
    • Education (6) +1
  • Notice
  • All (2544) +222
  • AI (576) +17
  • DevOps (149) +1
  • Software (1083) +148
  • IT (730) +55
  • Education (6) +1
  • Notice
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  • 56 minutes ago · ai

    YOLOv1 Paper Walkthrough: The Day YOLO First Saw the World

    A detailed walkthrough of the YOLOv1 architecture and its PyTorch implementation from scratch The post YOLOv1 Paper Walkthrough: The Day YOLO First Saw the Worl...

    #YOLOv1 #object detection #computer vision #deep learning #PyTorch #model walkthrough #neural networks
  • 2 hours ago · ai

    On the Challenge of Converting TensorFlow Models to PyTorch

    How to upgrade and optimize legacy AI/ML models The post On the Challenge of Converting TensorFlow Models to PyTorch appeared first on Towards Data Science....

    #TensorFlow #PyTorch #model conversion #deep learning #AI migration #machine learning
  • 21 hours ago · ai

    NVIDIA Awards up to $60,000 Research Fellowships to PhD Students

    Overview For 25 years, the NVIDIA Graduate Fellowship Programhttps://research.nvidia.com/graduate-fellowships has supported graduate students doing outstanding...

    #NVIDIA #graduate fellowship #PhD research #deep learning #autonomous systems #computer graphics #robotics #security #accelerated computing
  • 1 day ago · ai

    Saturn (YC S24) Is Hiring Senior AI Engineer

    Article URL: https://www.ycombinator.com/companies/saturn/jobs/R9s9o5f-senior-ai-engineer Comments URL: https://news.ycombinator.com/item?id=46144613 Points: 0...

    #hiring #senior AI engineer #Y Combinator #startup #machine learning #deep learning
  • 1 day ago · ai

    [Paper] Convergence for Discrete Parameter Updates

    Modern deep learning models require immense computational resources, motivating research into low-precision training. Quantised training addresses this by repre...

    #discrete optimization #low-precision training #multinomial update #convergence theory #deep learning
  • 1 day ago · ai

    Overcoming the Hidden Performance Traps of Variable-Shaped Tensors: Efficient Data Sampling in PyTorch

    PyTorch Model Performance Analysis and Optimization — Part 11 The post Overcoming the Hidden Performance Traps of Variable-Shaped Tensors: Efficient Data Sampli...

    #PyTorch #variable-shaped tensors #data sampling #performance optimization #deep learning #machine learning
  • 2 days ago · ai

    A step-by-step guide to fine-tuning MedGemma for breast tumor classification

    Introduction Artificial intelligence AI is revolutionizing healthcare, but how do you take a powerful, general‑purpose AI model and teach it the specialized...

    #MedGemma #fine-tuning #breast cancer classification #histopathology #medical imaging AI #deep learning #machine learning #healthcare AI
  • 4 days ago · ai

    The Machine Learning and Deep Learning “Advent Calendar” Series: The Blueprint

    Opening the black box of ML models, step by step, directly in Excel The post The Machine Learning and Deep Learning “Advent Calendar” Series: The Blueprint appe...

    #machine learning #deep learning #model interpretability #Excel #advent calendar #data science #AI tutorials
  • 5 days ago · ai

    🚀 How I Cut Deep Learning Training Time by 45% — Without Upgrading Hardware

    A practical experiment comparing Caching + Prefetching, Mixed Precision, and Gradient Accumulation Machine Learning engineers often celebrate higher accuracy, b...

    #deep learning #training optimization #mixed precision #tensorflow #performance
  • 1 week ago · ai

    [Paper] Deep Learning-Based Multiclass Classification of Oral Lesions with Stratified Augmentation

    Oral cancer is highly common across the globe and is mostly diagnosed during the later stages due to the close visual similarity to benign, precancerous, and ma...

    #oral lesions #multiclass classification #medical imaging #data augmentation #deep learning
  • 1 week ago · ai

    [Paper] HarmonicAttack: An Adaptive Cross-Domain Audio Watermark Removal

    The availability of high-quality, AI-generated audio raises security challenges such as misinformation campaigns and voice-cloning fraud. A key defense against ...

    #audio watermarking #deep learning #adversarial attack #AI security #speech synthesis
  • 1 week ago · ai

    [Paper] CanKD: Cross-Attention-based Non-local operation for Feature-based Knowledge Distillation

    We propose Cross-Attention-based Non-local Knowledge Distillation (CanKD), a novel feature-based knowledge distillation framework that leverages cross-attention...

    #knowledge distillation #cross-attention #computer vision #model compression #deep learning

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