Take control of named entity recognition with your own Keras model!
11/13/20
We build, train and evaluate a bidirectional LSTM-network for named entity recognition to extract information from legal texts with Keras. Read more
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NER @ CLI: Custom-named entity recognition with spaCy in four lines
11/06/20
We show how to extract information from legal texts, training spaCy's named entity recognition model for our task on the command line. Read more
DISH-O-TRON – Train that vision model!
10/12/20
In this article of our dish-o-tron series, we train vision models and continue building an AI system to prevent dirty dishes. Read more
DISH-O-TRON – Gather that DATA you must!
09/25/20
This is the second article in our dish-o-tron series in which we tackle one of the biggest problems in community kitchens: coming across someone else's dirty dishes. Read more
DISH-O-TRON – No more dirty dishes thanks to AI
09/11/20
It is time to and finally apply AI in a meaningful way. Enter the dish-o-tron, an AI system designed to solve a real-world problem. Read more
Why user-oriented development is so important – the story of tactics.ai
08/24/20
In this blog post, we want to give you an insight into the product development of tactics.ai. Our initial idea... Read more
PayPal integration with React Native
05/26/20
PayPal integration with React Native using Smart Payment Buttons. Complete payment flow with diagram explaining interaction between services. Read more
Physical regression testing for the Thermomix
04/01/20
Automating physical regression testing of products with computer vision and robotics Testing a physical product can be a highly manual... Read more
Failure – the fertilizer of continuous learning
03/09/20
If failure is truly embraced on a cultural and organizational level, the organization will fail controllably, insightfully, and cost-effectively all the way to success. Read more