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

Foster the development and application of Neuromorphic Computing to real-world problems.
Educate students, graduates and industry experts in R&D for Neuromorphic Computing and how to use it in their applications.
Offer support to the industry and academic partners for evaluating the use of Neuromorphic Computing and launching applications powered by neuromorphic technology.
Intensify the collaboration and knowledge transfer between the partners, and make use of the synergy from the complementary areas of expertise.

Main objectives and mission of the labs

Foster the development and application of Neuromorphic Computing to real-world problems.
Educate students, graduates and industry experts in R&D for Neuromorphic Computing and how to use it in their applications.
Offer support to the industry and academic partners for evaluating the use of Neuromorphic Computing and launching applications powered by neuromorphic technology.
Intensify the collaboration and knowledge transfer between the partners, and make use of the synergy from the complementary areas of expertise.