Technology

Computer vision vs. human in critical decision-making. Explore hybrid approaches, accuracy comparisons, and more in AI-human collaboration.

Technical teams can easily recognize the necessity of computer vision solutions, but securing executive buy-in is often the bigger challenge.

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

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

We explore how data structures and algorithms will be crucial for preparing the next generation of programmers.

Which industries will reap the most value from computer vision? We discuss the applications where visual intelligence makes a difference.

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.