Applying Neuromorphic Computing to Make Our World Smart
NeuroComp Labs NBay is the leading contact point for innovative basic and application-oriented cutting-edge research in the field of neuromorphic computing in Northern Bavaria.
Neuromorphic Computing Labs of Northern Bavaria
In Neuromorphic Engineering, we build Artificial Intelligence (AI) hardware devices and algorithms that are inspired from biological brains. A bee brain needs less than 10 micro Watt to see, smell and control its body – that’s what we also want to bring to electronic devices.
The Neuromorphic Computing Labs of Northern Bavaria is an association of fundamental and applied research in several areas that are needed for the complex topic of Neuromorphic Engineering. The partners are Friedrich-Alexander-Universität Erlangen-Nürnberg, Technische Hochschule Ohm Nürnberg and Fraunhofer Institute for Integrated Circuits IIS in Erlangen, and the Leistungszentrum Elektroniksysteme in Erlangen. The areas of expertise include Machine learning (ML) algorithms for Neuromorphic Hardware, design of analog and digital AI accelerator chips, memristor-components to be used on these chips, the tools needed to run the algorithms on the chips (hardware-aware training, compiler, virtual prototypes) and the application to real-world problems.
Neuromorphic Computing Labs of Northern Bavaria
In Neuromorphic Engineering, we build Artificial Intelligence (AI) hardware devices and algorithms that are inspired from biological brains. A bee brain needs less than 10 micro Watt to see, smell and control its body – that’s what we also want to bring to electronic devices.
The Neuromorphic Computing Labs of Northern Bavaria is an association of fundamental and applied research in several areas that are needed for the complex topic of Neuromorphic Engineering. The partners are Friedrich-Alexander-Universität Erlangen-Nürnberg, Technische Hochschule Ohm Nürnberg and Fraunhofer Institute for Integrated Circuits IIS in Erlangen, and the Leistungszentrum Elektroniksysteme in Erlangen. The areas of expertise include Machine learning (ML) algorithms for Neuromorphic Hardware, design of analog and digital AI accelerator chips, memristor-components to be used on these chips, the tools needed to run the algorithms on the chips (hardware-aware training, compiler, virtual prototypes) and the application to real-world problems.
Main objectives and mission of the labs
Main objectives and mission of the labs
The lectures will take place at 5 p.m. in lecture hall H10, Erwin-Rommel-Straße 60, 91058 Erlangen.
Admission is free and no registration is required. Come along and take the opportunity to talk to our experts.
Stay tuned on LinkedIn for the latest information!
November 12, 2025:
Memristors and In-Memory-Computing
Prof. Dr. Dietmar Fey, Friedrich-Alexander-Universität Erlangen-Nürnberg
December 10, 2025:
Neuromorphic Computing in the era of XPUs
Dr. Johannes Leugering, Forschungszentrum Jülich, Neuromorphic Compute Nodes group
Fraunhofer Institute for Integrated Circuits IIS
Friedrich-Alexander-Universität Erlangen-Nürnberg
Technische Hochschule Nürnberg / Nuremberg Institute of Technology
