Solving problems in Machine Learning very often relates to the question how to represent the data. While in the past most problems were approached with manually crafted features, we observe a move towards learning algorithms that derive robust and informative features. The 5th International… Continue Reading
Our master student Jakob Mischek just finished his work on our tracking system which just got way better. Check out the video and his thesis (in German). The new system was made possible by an improved upstream process, the detection and decoding… Continue Reading
Our team member Leon Sixt has developed a new image processing component for the decoding of bee markers. The method is based on convolutional neural networks, the current state of the art in computer vision. ConvNets are awesome, however, they need… Continue Reading
Get a drink and a bowl of popcorn. As of now you can watch our bees live! We are launching a new website featuring a live preview of our honeybee colony full of individually marked bees. Check back regularly, we… Continue Reading
We just published the first tracking system for honeybee colonies in Frontiers in Ecology and Evolution. Thanks to the HLRN for generous support with storage and computing resources!
Raúl Rojas frequently publishes articles on AI and robotics or science in general in Telepolis, a popular German online magazine. This time, he writes about the biology of the honeybee waggle dance! The article is a good start to understand… Continue Reading
We have successfully applied to The North-German Supercomputing Alliance (HLRN) for computing and storage resources. The HLRN grants more than half a million computing points (NPL) worth over a 100.000 €! We are very happy and look forward to using the… Continue Reading
We have marked all bees in our observation hive and the first full-fledged recording season has begun. We are very excited – everything is running smoothly so far (Knock on wood!!!).
We changed the design of the binary tags to a circular code. Look below!