We are witnessing an incredible evolution of text-to-image systems such as Stable Diffusion and MidJourney. Many of them are becoming easily accessible to everyone, through apps, Discord channels, sites or even through the same source code used by developers. The imagination of thousands of people has exploded by using them…

The world of Machine Learning is undoubtedly fascinating, constantly growing, and capable of touching the most diverse sectors, from medicine to space racing, from catering to big manufacturing. …

Vision Transformers generating images and painting photos — What's creativity? The most accredited definition is the following: “Creativity is the capability of creating novel things” It is considered one of the most important and irreplaceable peculiarities of humankind. But if this is such a special characteristic, it would be impossible for a neural network to imitate it, isn't…

Exploiting Generative Adversarial Networks to generate new worlds, galaxies and stars — What’s out there? In this vast, infinite and inconceivable universe… Stars, planets, nebulae and celestial bodies are colliding, orbiting, being born and dying since the dawn of time.

What is self-supervised learning and how has it been applied to Vision Transformers? — Anyone who has ever approached the world of machine learning has certainly heard of supervised learning and unsupervised learning. These are in fact two important possible approaches to Machine Learning that have been widely used for years. Only recently, however, has there been an explosion of a new term, Self-Supervised…

Exploring various ways to build hybrid architectures using Convolutional Neural Networks and Vision Transformers — The field of Computer Vision has for years been dominated by Convolutional Neural Networks (CNNs). Through the use of filters, these networks are able to generate simplified versions of the input image by creating feature maps that highlight the most relevant parts. …

Help to solve this emergency and make the difference! — Our planet's proper functioning and survival rely on a delicate balance of a vast heterogeneity of animal, plant, and microorganism species that contribute to the ecosystem established on Earth.

Exploring promising alternatives and improvements to self-attention mechanism in Transformers models. — In recent years there has been an explosion of methods based on self-attention and in particular Transformers, first in the field of Natural Language Processing and recently also in the field of Computer Vision. If you don’t know what Transformers are, or if you want to know more about the…

Exploiting an innovative approach for self-supervised learning of Vision Transformers — It has been clear for some time that the Transformers had arrived in the field of computer vision to amaze, but hardly anyone could have imagined such astonishing results from a Vision Transformer in such a short time since their first application. In this article, we discuss one of the…