Deep Learning

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

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.

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.

While many companies have joined the race to develop AGI, today's popular AI models are still widely considered to be ANI. Why is that?

Embedded systems projects focus on designing and implementing specialized computing solutions into devices for specific applications.