Maddox AI
Matthias Bethge has a diverse work experience in the field of artificial intelligence and neuroscience. Matthias is currently the Director at Tübingen AI Center and a Professor at the University of Tuebingen. In addition, Matthias is a co-founder of Bundeswettbewerb KI, European Laboratory for Learning and Intelligent Systems (ELLIS), Maddox AI, and DeepArt UG. Matthias has also worked as an Amazon Scholar at Amazon Web Services (AWS) and as a Group Leader at Max Planck Institute for Biological Cybernetics. Earlier in their career, Matthias was a researcher at UC Berkeley and a Postdoc at Redwood Neuroscience Institute.
Matthias Bethge's education history includes obtaining a Physics Dipl. degree from The University of Göttingen. Matthias later pursued a Dr. rer. nat. degree at the University of Bremen. Furthermore, they undertook a postdoctoral research position at the University of California, Berkeley, focusing on the field of study.
Maddox AI
With Maddox AI, you can reliably automate and digitize your quality control for a wide range of use cases by simply annotating a few defect images, without having your own AI expertise. The benefits are clear: less pseudo scrap, fewer recalibrations, higher inspection accuracy, faster throughput speed, and more. And the best part: You only payafter our system is ready for use in production according to previously agreed KPIs - we assume the investment risk. In addition, we will support you in our free after-sales service, e.g. by adding new error features. Try it out and convince yourself!