Deep Learning

Have we achieved Artificial General Intelligence? In this article, we discuss AGI and explore where the current AI landscape is headed.

Explore top trends in computer vision for 2025: Generative AI, ViTs, multimodal integration, deepfake detection, 3D vision, edge AI, AGVs, XAI, zero/few-shot learning, and ethical AI.

Lack of sufficient training data is a significant challenge in computer vision. Learn how N-shot learning solves the problem in this article.

Stemming from the generative AI boom, we dive into the CEO of NVIDIA, Jensen Huang’s question, “Is coding dead?”

YOLOv8 is a robust machine learning algorithm with significant improvements. Read on to find out more about the new developments.

Explore PaliGemma 2 architecture, capabilities, and implementation. Learn how this powerful vision-language model works and how to use it.

PaddlePaddle is an open-source deep learning framework. Learn its uses in computer vision and AI, architecture, development kits, and more.

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.

Active learning is a powerful technique to improve the efficiency of machine learning algorithms. Learn how it works with practical use cases.