News about Deep Learning Technology and visual AI. Find industry updates, expert interviews, and the latest insights in one place.
The ultimate guide to AI models in machine learning. Explore a list of the best AI models and examples of how they are used today.
Adversarial machine learning is a growing threat in AI. Various adversarial attacks are used against machine learning systems.
Deep learning requires massive amounts of sensitive data. This drives the importance of privacy-preserving deep learning for computer vision.
Vision Transformers (ViT) brought recent breakthroughs in Computer Vision achieving state-of-the-art accuracy with better efficiency.
Active learning is a powerful technique to improve the efficiency of machine learning algorithms. Learn how it works with practical use cases.
An easy-to-read guide about what makes YOLOv7 the fastest and most accurate object detection algorithm, with real-world examples.
The Residual network or ResNet is a major innovation that transformed the training of deep convolutional neural networks for computer vision.
Easy to understand guide about Machine Learning vs. Deep Learning. The characteristics, differences, and examples you need to know.
Self-supervised learning transforms systems’ abilities to learn from unlabeled data, enhancing efficiency and generalization.
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