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The seminar this semester with the title "Selected Topics on the Hardware Implementation of Neural Networks" will focus on " Neuromorphic Architectures - A Feasibility Study for Real-Time Edge Computing".


The concept of "Neuromorphic Computing" describes a multi-disciplinary area that deals with the development of neural systems and targets to improve conventional methods from the field of machine learning. By adapting biologically inspired / realistic concepts, systems are derived, which will inherit the cognitive abilities and energy efficiency of their inspiration - the human brain. The seminar focuses on the state-of-the-art identifying state-of-the-art methods and evaluate / critically question the viability of those in the context of practicality and application contexts.


The topical areas covered in this semester target diverse design principles and accelerators from the state-of-the-art, which are investigated in-depth and critically evaluated.

Details and possible topics will be announced in the introduction session.


Next date

Every semester


Registration is possible via RWTH Online.

For capacity reasons, the number of participants for this seminar is limited to 8.


Preliminary information on the seminar in SS 24 is held on 16/04/2024, 09:00 a.m. at seminar room UMIC 326 (2165|326)

A participation in this preliminary meeting is mandatory. After this session the seats will be assigned to registrants.

Group sessions

During the semester, there will be 6 discussion sessions at 2-week intervals. The exact form and dates will be announced in RWTH-Moodle. Attendance at 5 out of 6 dates is mandatory.


For the certificate a written paper and a final presentation have to be given. The presentations will take place at 16/07/2024 from 9:00 am. Participation in all presentations is mandatory.


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Informations in RWTH Online