Image segmentation is crucial for object recognition and advanced image processing, perceiving object descriptions, and associating them with their respective image regions. Today we will explore use cases of such a model.
Last week I had the privliege to spend three days in Berlin with my employer HERO Software at the WeAreDevelopers World Congress 2024. It was a great opportunity to learn from and network with other developers.
Learn how accessibility and its design patterns benefit businesses and users alike, and find practical resources and tools to improve your site's accessibility.
Actor-critic reinforcement learning is a significant advancement in the field of reinforcement learning. Actor-critic reinforcement learning combines the advantages of both policy-based and value-based reinforcement learning. In this post, I would like to introduce this algorithm.
Dimension reduction is an increasingly important part of the learning process of machine learning programs as data sets grow larger. Today we will look at the linear transformation method of Principal Component Analysis on low dimensional vector spaces to potentially improve the learning process.
Don't leave your users behind - Learn how to design accessible user interfaces with a design system that builds accessibility in from the start and eliminates potential barriers.
As Aggregata continues to evolve, we're committed to providing the optimal platform for our content. Read more about our decision to move from Astro to Ghost as an significant step towards enabling a more feature-rich content experience.
Image captioning is important because it provides a textual representation of the content and context of an image, improving accessibility and understanding for all users, especially those with visual impairments. In this post, we introduce BLIP for this use case.
Sentiment analysis is an increasingly important part of the evaluation of news from social networks. In the following article, we would like to present a pretrained transformer that is tailored for this task: the Emotion Text Classifier.
Obsidian, a tool for building a "second brain" - a system for organizing and managing information effectively. Learn how this free, open source platform can help you organize notes, connect ideas and potentially improve workflow efficiency.
Not all websites need to be dynamic. Discover the cost-efficiency, security and global accessibility benefits of static HTML. Learn how to recognise when static delivery is the right choice for your project.
The Naive Bayes classifier is a simple and efficient algorithm for classification tasks that assumes independence of the features. This post aims to introduce this algorithm to the reader.
