Deep Learning

OpenAI Sora is a text-to-video model that creates realistic and imaginative scenes from textual prompts with a diffusion transformer model.

Midjourney vs Stable Diffusion are two of the leading AI art generators from the AI boom. We explore their strengths and weaknesses.

Graph Neural Networks (GNNs) operate on graph-structured data, enabling them to learn relationships and patterns within complex networks.

DETR is a method for object detection with transformers. Explore its architecture, how it predicts bounding boxes and labels, and use cases.

Is AGI already here? We discuss everything you need to know about the 3 types of artificial intelligence in a complete guide.

With the ubiquity of generative AI tools, we now see their outputs everywhere. Learn how to spot different types of AI-generated content.

Our guide to Detectron2 dives into the framework's computer vision capabilities, covering everything from its architecture to use cases.

We deep dive into the foundations of deep learning with deep belief networks: their architecture, capabilities, applications and challenges.

Action localization identifies and localizes human actions within video sequences, making them searchable, analyzable, and more meaningful.

From definition to implementation to tools, this guide offers a complete rundown on experiment tracking in machine learning.

In this blog, we break down 7 of the most common AI model training errors, what you can do to fix them, and how avoid

Deepfakes have the potential to democratize content creation or undermine public trust. We explore the ethics and state of this technology.