Sefik Ilkin Serengil

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

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.

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.

The FeatUp algorithm has the potential to convert low-resolution images into useful ones, without the need for large retraining.

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

YOLOv4, released in 2020, serves as a continuation of open-source computer vision as part of the "You Only Look Once" series.

Explore the EU AI Act's key implications for businesses: Understand the act's basics, expectations for companies, guidelines, and its impact.

Computer vision in AR and VR uses digital elements for spatial mapping, object recognition, and creating immersive virtual environments.

Deep dive into the groundbreaking research of John Hopfield and Geoffrey Hinton, the 2024 Nobel Prize winners in Physics.