Deep Learning

Face recognition technologies greatly advanced with deep learning-based methods. Read an overview about deep face recognition technology, its applications, and challenges.

AI music and LLMs are reshaping the music industry. We'll explore this subject in a case study of Microsoft’s Muzic framework.

This blog introduces the core concepts of Reinforcement Learning, the integration with Deep Learning, and the diverse applications from gaming to real-world sectors like healthcare

In this article, we debrief on Sam Altman's OpenAI firing and reinstatement. Learn about its future impact on regulations and ethics in AI.

Everything you need to know about PyTorch vs. TensorFlow. The advantages, differences in performance, accuracy, and ease of use.

Object tracking in deep learning for single and multiple object tracking. The most popular algorithms and tools to use.

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.

An easy-to-read guide about what makes YOLOv7 a top-performing 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.