Following the success of the finished student project group "EML: Embedded Machine Learning“ from 2018/19 that ran in cooperation with Weidmüller, a new student group now has started to continue the work as "EML II“ in April. Nine students enrolled in the Computer Engineering and Computer Science master programs are going to work in a team for one full year to further research and develop embedded machine learning techniques and implement them on modern reconfigurable systems-on-chip platforms. Continuing the cooperation with Weidmüller, this group will also have the opportunity to work on embedded machine learning techniques for classifying real industrial datasets.
