To spot the best new developments and techniques for you, we attended the NeurIPS 2019 conference, the most important conference in machine learning. Of particular interest for our clients were the machine learning for health workshop and the medical imaging workshop. Our co-founder Moritz also presented a paper in the machine learning for physics workshop. We expect that some of the new research on NeurIPS will make its way into Wolution in the near future.
Stay up to date with our recent news and developments
We are looking forward to present Wolution at the "BayStartUP Münchener Startup Demo Night". We hope to meet you on Wed 13.11.2019, 6:30 PM – 10:30 PM, at TonHalle München, Atelierstraße 24, 81671.
If you are curious about Wolution and in the Munich area please drop by and visit our booth to see a demo and talk to us.
We have incorporated Wolution into a new administrative structure, the Wolution GmbH & Co. KG. With this change we are well prepared for growth in the future. Our current customers are receiving updated documents, but nothing changes with respect to your subscription and coins.
We have recently moved to our new office in Munich. Our new address is
Lochhamer Str. 31
Martinsried is a hot spot of Biotechnology and is the home for institutions like Campus Martinsried, Ludwig-Maximilian University (LMU) München, the Max Planck Institute of Biochemistry, the Max Planck Institute of Neurobiology as well as the Innovation Center for Biotechnology (IZB). Those facilities and numerous spin-offs make Martinsried to one of the largest european centers where science, innovation and innovative businesses are merged together. We could hardly have found a better location for Wolution and look forward to local collaborations.
A common task of our clients is to analyse stacks of images or videos, and to put the single images in relation to each other. For example some of our clients want to track the movements of animals in stables to study their behavior. This is now possible with Wolution.
As usual you first create a set of training data, where you mark the objects of interest in the frames of the video. The algorithm is then trained for the task. You can analyze arbitrarily long videos, and we support most standard video formats.
As you can see we currently provide three classes of learning algorithm, some of which come in several versions. If you have more questions about this please contact us.