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
Embedded Talk
The 20th Embedded Talk will take place on May 13, 2026, at 1:00 PM at Josephs in Nuremberg (Augustinerstraße 19, Nuremberg). Immerse yourself in the world of neuromorphic hardware and learn more about the latest developments, especially in the area of hardware architectures inspired by human brain structures.
For more information and to register, please click this link.
The lectures will take place at 5 p.m. in lecture hall H9, Erwin-Rommel-Str. 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!
May 06, 2026:
Neural Control Systems:
From Mechanistic Models to Neuromorphic Feedback Controllers
From Mechanistic Models to Neuromorphic Feedback Controllers
Prof. Dr. Cristian Axenie, TH Nürnberg, Professorship for AI for Heterogenous Sensor Data
June 10, 2026:
Hardware-Aware Neural Architecture Search
for Resource-Constrained Target Platforms
for Resource-Constrained Target Platforms
Christian Heidorn, FAU, Chair for Hardware/Software Co-Design (Informatik 12)
June 24, 2026:
Beyond Static Classifiers:
Efficient Continual Learning for Spiking Gesture Recognition
Efficient Continual Learning for Spiking Gesture Recognition
Thomas Huber, fortiss GmbH, Neuromorphic Computing Group
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Fraunhofer Institute for Integrated Circuits IIS
Friedrich-Alexander-Universität Erlangen-Nürnberg
Technische Hochschule Nürnberg / Nuremberg Institute of Technology
