How we use Machine Learning to create our Articles
Transparency is an important step for user trust in a product. Today we want to focus more on our use of machine learning methods for Aggregata.
Define a Component Library for Designers and Developers
Delve into the early steps of establishing a component library for designers and developers alike, while keeping common pain points in mind.
Crafting a detailed Dialog element using Microinteractions
Over the past few weeks I've been experimenting with the Dialog element and the new Popover API and dabbled with some microinteractions to make every click a little more engaging.
Automated Question Answering: Applications of Matcha-Quarta
Automatically answering questions about images is a powerful tool for making a variety of processes faster and more efficient. In this article, we introduce Matcha-Quarta, a neural network trained for this task.
Image Segmentation: Exploring Use Cases of Microsoft's Pretrained Transformer Kosmos2
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.
Visiting the WeAreDevelopers World Congress 2024
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.
Accessibility - a Necessity, not an Afterthought
Learn how accessibility and its design patterns benefit businesses and users alike, and find practical resources and tools to improve your site's accessibility.
The Actor Critic Algorithm: The Key to Efficient Reinforcement Learning
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.
Enabling the Power of Dimensionality Reduction: An Introduction to Principal Component Analysis
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.
Develop design systems with accessibility in mind
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.
Why we are moving Aggregata from Astro to Ghost
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.
An Introduction to Image Captioning with BLIP
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.