Creative solutions enabled us to automate the process of planning solar systems
AI-supported optical defect detection for semiconductor laser production
By Emilius Richter • July 18th, 2022
For a software provider, the project proposal is the first step toward meeting the needs of the customer. In this article, I will describe the most important modules in machine learning project proposals.
By Frank Weilandt (PhD) • July 16th, 2021
In this blogpost we show how both traditional and deep learning-based computer vision techniques can be applied for information extraction from exploded-view technical drawings.
By Fabian Gringel • June 21st, 2021
Contrastive Language-Image Pretraining (short: CLIP) makes use of image captions to train a zero-shot image classifier. In this blog article I will give a rough non-technical outline of how CLIP works, and I will also show how you can try CLIP out yourself!
By Emilius Richter • May 21st, 2021
We discuss what questions should be considered and answered up front to launch a successful machine learning software project.
By The best image labeling tools for Computer Vision • April 8th, 2021
Here we have a closer look at some of the best image labeling tools for Computer Vision tasks. We will install and configure the tools and illustrate their capabilities by applying them to label real images for an object detection task.
By How to extract text from PDF files • August 17th, 2020
In the following I want to present the open-source Python PDF tools PyPDF2, pdfminer and PyMuPDF that can be used to extract text from PDF files. I will compare their features and point out some drawbacks.
By What is Reinforcement Learning? (Part 2) • August 3rd, 2020
In the previous post we introduced the basics of reinforcement learning. The discussed setting was limited in the sense that we were dealing with a single agent acting in a stationary environment. Now we will take it one step further and discuss Multi-Agent Reinforcement Learning (MARL).
By What is Reinforcement Learning? (Part 1) • April 27th, 2020
In this post we will give a quick introduction to the general framework of Reinforcement Learning (RL) and look at a few basic solution attempts in more detail. Finally, we will give a visual example of RL at work and discuss further approaches.