NNMHA lecture registration for winter semester 2025/2026 now open

The enrollment in Neural Networks and Memristive Hardware Accelerators (NNMHA) lecture for winter semester 2025/2026 is now open. 

The lecture is intended for students in the main study (7th semester) of Informationssystemtechnik (IST) and in the master study (1st semester) of Nanoelectronic Systems (NES). Students of other degree programs are also welcome to attend the course.

Neural network systems are modeled after the human brain and can accomplish many difficult tasks such as image, speech recognition and generation as well as autonomous driving. Traditional computer hardware is suffering from a Neumann bottleneck, requiring new strategies to handle the enormous growth in data. This can be tackled with the so-called in-memory computing, which uses memory hardware to store and compute data in the same device. One promising solution are novel materials in the nanoscale offering resistors with memory function, so-called memristors.

Please find the course webpage here (with lecture videos from 2024/2025): Link to NNMHA course webpage

Register in OPAL for the course: Link to OPAL