Accelerate civil services and relieve civil servants from monotonous tasks
Through dida's expertise in the field of natural language processing (NLP) we succeeded in creating a software for the legal review of rental agreements.
With machine learning and NLP: Read about the development of software for the automatic verification of settlements using artificial intelligence.
Machine learning and information extraction: dida's AI-based algorithm simplifies business registrations through intelligent semantic search.
Machine learning and remote sensing: The computer vision software developed by dida enables predictions for innovative agriculture.
We as an AI software provider developed, with the help of computer vision, an algorithm for monitoring & predicting urban change.
By Emilius Richter • August 2nd, 2022
Python tools for remote sensing using machine learning: Comparison of Python software for data retrieval and processing of satellite data read here.
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 Marty Oelschläger (PhD) • December 20th, 2021
Learn more about the ethics in natural language processing (NLP), the societal impact of machine learning (ML) & why caution should be exercised.
By Fabian Gringel • October 24th, 2021
Expand your knowledge about GPT-3 and read here about opportunities, weaknesses & troubleshooting as well as alternatives of the AI-based language model.
By Fabian Gringel • September 27th, 2021
Read here about how GPT-3 works, as well as its dangers & applications, and learn how you can try a GPT-3-like model for free.
By Fabian Gringel • June 21st, 2021
Contrastive language image pretraining (CLIP): Read about the functionality as well as applications of the CLIP model, a zero-shot image classifier.
By • June 4th, 2021
In this blog article, I want to briefly describe the process of migrating labels from Planet Scope to Sentinel-2 images.