This website requires Javascript for some parts to function properly. Your experience may vary.
Increase logistics operations efficiency
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.
We as an AI software provider developed, with the help of computer vision, an algorithm for monitoring & predicting urban change.
Machine learning and security systems: Development of a multi-level system with facial recognition and automated access control using AI.
As a machine learning service provider, we used natural language processing (NLP) to make software for extracting information from customer requests.
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 Emilius Richter • May 21st, 2021
Read about the 21 relevant questions that should be considered & answered upfront to start a successful machine learning software project.
By Angela Maennel • April 26th, 2021
Read here about how open domain question answering systems work & how they can improve your website's search function.
By Julius Richter • December 18th, 2019
Expand your machine learning knowledge of time series, serial sequences & recurrent neural networks (RNN) with this professional introduction.