
Create a Component Library for Designers and Developers
Explore the process of creating a component library for designers and developers using an example component, from defining the requirements to maintaining the library.
Explore the process of creating a component library for designers and developers using an example component, from defining the requirements to maintaining the library.
As the second year of Aggregata draws to a close, we take the opportunity to review the changes and provide some insight into future developments.
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.
Delve into the early steps of establishing a component library for designers and developers alike, while keeping common pain points in mind.
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.
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 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.