We write about current software and standards

The Open Worldwide Application Security Program

Cybersecurity has become a critical component of modern IT infrastructure, as the increasing reliance on digital technologies makes organizations vulnerable to a wide range of threats and attacks. OWASP plays a key role in promoting secure coding practices, providing education and training, and fostering collaboration to address cyber threats, helping organizations prioritize cybersecurity and protect their digital assets. Today, we provide you with an overview of OWASP services and the opportunities it represents.

December 9, 2024

Google Gemma

Google Gemma is a powerful neural network. While Gemma is primarily focused on research and advanced users, its neural network capabilities could be interesting to a wide range of users.

November 25, 2024

Expand a Component Library for Designers and Developers

Discover how to extend a component library with design tokens. Learn how to efficiently manage design tokens and components for designers and developers in Figma, Storybook and Vue.

November 11, 2024

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.

October 29, 2024

Adapting and Evolving: Year Two of Aggregata

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.

October 14, 2024

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.

September 30, 2024

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.

September 16, 2024

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.

September 2, 2024

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.

August 19, 2024

Image Segmentation: Exploring Use Cases of Microsoft's Pretrained Transformer Kosmos2

Image segmentation is crucial for object recognition and advanced image processing, and the Kosmos-2 neural network enhances this by grounding text in the visual world, perceiving object descriptions, and associating them with their respective image regions. Today we will explore use cases of such a model.

August 5, 2024

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.

July 22, 2024

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.

July 8, 2024

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, allowing for more efficient and effective learning in complex environments. In this post, I would like to introduce this algorithm.

June 24, 2024

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 a linear transformation method on low dimensional vector spaces to potentially improve the learning process. Principal Component Analysis will be introduced for this purpose.

June 10, 2024

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.

May 27, 2024

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.

May 13, 2024

An introduction to the topic of 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.

April 29, 2024

Transforming Sentiment Analysis with the Emotion Text Classifier

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.

April 15, 2024

Beyond bullet points: Dive into Obsidian

Obsidian, a tool for building a "second brain" - a system for organising and managing information effectively. Learn how this free, open source platform can help you organise notes, connect ideas and potentially improve workflow efficiency.

April 1, 2024

Deploying dynamic content as static HTML

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.

March 18, 2024

Text Classification with the Naive Bayes Text Classifier

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.

March 4, 2024

Dimensionality Reduction with Random Projections

Large amounts of data can be challenging for many reasons. Today, I will present an algorithm that can be used to reduce the size of a data set: Random Projections.

February 19, 2024

Advanced forms with Alpine.js

Visualise validation errors in your backend for input elements with Alpine.js and improve the user experience of your forms. Read more in this article.

February 5, 2024

Unlocking the Power of T5: The Versatile Language Model for Text-to-Text Tasks

T5 is a powerful language model capable of performing a wide range of text-to-text tasks, including text classification, language translation or text summarization. The aim of this post is to introduce this pretrained transformer to the reader.

January 22, 2024

Working with the Arc Browser

The Arc Browser brings a breath of fresh air to the browser market and at the same time offers interesting features that could have a lasting impact on the way we browse the Internet. Read more in this article.

January 8, 2024

Classical optimization using Optuna

Optimizing a (complex) function can be a difficult task. Here I present a library which I use and which I think is a good way to solve such tasks. In addition, I will show corresponding tasks and an implementation of a comparatively simple optimization task as a usage example.

December 25, 2023

Ethics and Bias in Machine Learning

As in many other areas, ethical issues are necessary for the safe and fair use of various products. In this article, we will look at ethical issues related to machine learning.

December 11, 2023

Robust clustering using k-Means

To identify similar groups in unknown data and reduce complexity, clustering can be used. Here we describe the k-means algorithm that can be used for clustering.

November 27, 2023

Dynamic imports with Alpine.js

Find out how you can implement dynamic imports with Alpine.js to speed up your website and optimize the user experience.

November 13, 2023

Astro - An introduction to your next project

Learn how to use Astro as a flexible base for your next project in this article that takes you from setup to deployment.

October 30, 2023

One year of Aggregata: A review and outlook

In October 2022 we published our first article and in October 2023 we will not only review one year of Aggregata but also give an outlook on future projects.

October 16, 2023

"How does A.I. learn?" - Impressions from our first seminar

Understanding Artificial Intelligence - In our latest article we give an insight into our first seminar and our experiences.

October 2, 2023

On-Policy and Off-Policy: What is the difference?

The purpose of this article is to introduce the reader to the basic topic of reinforcement learning. The introduction concretizes important terms and basic concepts used there.

September 19, 2023

Regression using neural networks

There are a number of ways to solve a regression task. In this article we will describe how such a regression task can be solved using a neural network.

September 5, 2023

Classification using neural networks

There are several classical algorithms to perform a classification. Here I describe an implementation using neural networks and my experiences with it.

August 21, 2023

Q-Learning: The Basics of Reinforcement Learning

Q-Learning was one of the first practical reinforcement learning algorithms. This post introduces this algorithm.

August 7, 2023

Temporary and persistent state management with Alpine.js

In this article, you'll learn how to use Alpine.js to manage both temporary and persistent states, and how to use it to optimize your user experience.

July 24, 2023

Random Forests - An upgrade for Decision Trees

Decision trees alone are often not sufficient to perform a meaningful classification. Random forests represent an improvement of the decision trees. I am going to present this method in the following post.

July 10, 2023

Classification via k-nearest-neighbor classifier

Classification can be done in many different ways and with many different algorithms. Today I will introduce the K-Nearest-Neighbour classifier.

June 26, 2023

Colophon: How we build Aggregata

Today we'll give you an inside look at the design and technical implementation decisions behind Aggregata.

June 12, 2023

Decision Trees - Graphical Explainable AI

Often machine learning models are complex and difficult to understand. This article describes a method that visualizes clear structures and decision criteria: Decision Trees.

May 29, 2023

Logistic Regression - Prediction of Event Occurrences

Event occurrence probabilities are often a complex problem to model. In this article, a basic method for this is presented: Logistic Regression.

May 15, 2023

Working with Artificial Intelligence: Risks & Side Effects

Artificial intelligence is a capable technology with great advantages. However, it is also associated with risks and side effects. In this article you will learn what you need to be aware of when working with artificial intelligence.

May 2, 2023

Introduction to Reinforcement Learning

This post is intended to introduce the reader to the basic topic of reinforcement learning. The introduction clarifies important terms and basic concepts that are used in Reinforcement Learning.

April 17, 2023

Generative texts: Working with Artificial Intelligence

How can you use artificial intelligence to generate creative and valuable texts? In this post, you'll learn more about the opportunities and challenges of generative texts.

April 3, 2023

Introduction to Semi Supervised Learning

Semi supervised learning represents one of the four topics of machine learning. This post is intended to give an introduction to the topic.

March 20, 2023

The Search Function - Redefined by Machine Learning

Microsoft and OpenAI, based on the immense success of ChatGPT, present a new way to search the Internet for information, starting a competition for Google's domination of the Internet.

March 6, 2023

Introduction to Unsupervised Learning

Unsupervised Learning represents one of the four topics of Machine Learning. This post aims to provide an introduction to the topic.

February 20, 2023

Introduction to Supervised Learning

Supervised Learning represents one of the four topics of Machine Learning. This post is intended to provide an introduction to the topic.

February 6, 2023

Artificial Neural Networks - A Milestone in Machine Learning

Neural networks are a hotly debated topic. But what are they and how exactly do they work? Some of these questions are answered here.

January 23, 2023

Machine Learning - Sounds interesting, but whats the matter?

Machine Learning is taking an increasingly important part in our lives. This post will explain why is likely a relevant concept in the future.

January 9, 2023

Visualize and update products with Alpine.js

In this post, we'll show you how to use Alpine.js to visualize a list of products and automatically convert their prices.

December 26, 2022

Double Deep Q-Network: DQN with stability upgrades

The Deep Q network sometimes suffers from various problems. The problems are presented here and a solution for these problems is presented.

December 9, 2022

Interactive forms with Alpine.js

In this post, I dynamize a contact form using Alpine.js to incrementally enrich the user experience.

November 25, 2022

Deep Recurrent Q Network - DQN with a look into the past

Deep Q-Networks sometimes need information from different time steps to converge quickly. The Deep Recurrent Q-Network represents one possibility for this.

November 21, 2022

Hyperparameter optimization for neural networks

How exactly does one perform hyperparameter optimization? What do you have to pay attention to there? What exactly does a visualization look like? There is an answer to all these questions here.

November 7, 2022

Deep Q Network - Deep Learning and Reinforcement Learning in a simple way

Artificial neural networks have achieved success in many fields. Here I present the first algorithm for training neural networks for reinforcement learning: the Deep Q-Network.

October 24, 2022

Linear Regression: Identifying Simple Correlations in Data

In the Big Data business, (co-)rellations are often useful to make decisions. Here is one easy method to find such information: Linear Regression.

October 10, 2022

Include Alpine.js in a production environment

To increase the interactivity of a production-ready PHP environment, I implemented Alpine.js for the first time. Here are my findings.

October 9, 2022