Here I’m going to walk through how we approached the problem of detecting convective clouds in satellite data including what we are looking for (and why!) and the machine learning approach we used. This post will consist of four sections:
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Release Date
October 25th, 2019
Since not only the complexity of Machine Learning (ML) models but also the size of data sets continue to grow, so does the need for computer power. While most laptops today can handle a... read more
September 24th, 2019
In Machine Learning, an insufficient amount of training data often hinders the performance of classification algorithms. Experience shows that shortage of training data is rather the rule than... read more
August 27th, 2019
Artificial intelligence (AI) and in particular computer vision promise to be valuable aids for diagnosing diseases based on medical... read more
August 12th, 2019
Natural Language Processing (short: NLP, sometimes also called Computational Linguistics) is one of the fields which has undergone a revolution since methods from... read more
July 15th, 2019
In the past five to ten years, hardly any topic has seen such a stellar rise in popularity as Deep Learning. Since 2009 the number of Deep Learning papers published per year has more than... read more
May 24th, 2019
This post presents some key learnings from our work on identifying roofs on satellite images. Our aim was to develop a planing tool for the placement of solar panels on roofs. For this purpose... read more
May 10th, 2019
We are currently working on an exciting project where the computer reads numbers and letters in technical drawings. These numbers and letters are used to tag the objects in the drawings. Here... read more
April 23rd, 2019
There is a growing demand for automatically processing letters and other documents. Powered by machine learning, modern OCR (optical character recognition) methods can digitize the text. But... read more