Methods and Hardware for Neuro-Inspired Computing

We develop neuro-inspired hardware platforms for real-time AI applications, deployed as SpiNNcloud at TU Dresden. We also work on the integration with other computing hardware, like other neuro-inspired hardware systems or FPGA, and focus on unsupervised learning of spiking neural networks.

Contact

Portrait of Prof. Dr.-Ing. habil. Christian Mayr

Prof. Dr.-Ing. habil. Christian Mayr

TU Dresden

christian.mayr@tu-dresden.de

Find out more about our research in the field of AI Algorithms and Methods.

TU
Universität
Max
Leibnitz-Institut
Helmholtz
Hemholtz
Institut
Fraunhofer-Institut
Fraunhofer-Institut
Max-Planck-Institut
Institute
Max-Plank-Institut