Lectures online: Neural Networks and Memristive Hardware Accelerators

The recordings of all 14 lectures of the course "Neural Networks and Memristive Hardware Accelerators" can now be found here: 

Link to the videos

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.

© Sophia Hölzel

Research Associate

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Mr Dr.-Ing. Richard Schroedter

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