Neuromorphic computing

The most efficient computer we know is our brain. The researchers at Radboud University who work on neuromorphic computing translate this complex network of synapses to an energy-efficient computing infrastructure. Nijmegen has a unique position with expertise from both the Donders Institute for Brain, Cognition and Behavior and the Institute for Molecules and Materials. These combined forces result in fundamentally new hardware designs and software approaches, with significant energy savings in comparison with conventional computing.

Cover Whitepaper Neuromorphic Computing in the Netherlands

White paper highlights potential of brain-inspired computing

Research news item

The white paper, "Neuromorphic Computing in the Netherlands", highlights significant domestic expertise in the field and advocates for the establishment of a national coalition to coordinate future efforts in alignment with other key technologies.

illustration of connections in the brain

Disruptively green neuromorphic scientific computing leveraging stochasticity

Research

We will develop algorithms for neuromorphic hardware with computational material science as a use case. This will create more fundamental knowledge on next-generation materials for neuromorphic hardware.

Nodes forming a brain

ASMPT Lab

Research

The ASMPT Lab focuses on developing trustworthy AI models, algorithms, and technology for real-time inference, prediction, and control of high-throughput data streams in the semiconductor manufacturing industry.

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Coordinators

Prof. A.A. Khajetoorians (Alex)

Prof. A.A. Khajetoorians (Alex)

professor (Scanning Probe Microscopy)
Alexander Khajetoorians focuses on the electronic and magnetic properties of materials at the scale of a single atom. Using the Netherlands highest resolution microscope, he aims to understand and utilise the undiscovered properties of materials for new computing paradigms.
Prof. M.A.J. van Gerven (Marcel)

Prof. M.A.J. van Gerven (Marcel)

professor (Artificial Intelligence), Principal Investigator (Donders Centre for Cognition), Principal Investigator (Donders Institute for Brain, Cognition and Behaviour)
Marcel van Gerven focuses on the development of artificial intelligence (AI) that is inspired by the way in which the human brain works. This provides the basis for smarter and more efficient brain-based technology.
Dr J.H. Mentink (Johan)

Dr J.H. Mentink (Johan)

assistant professor (Ultrafast Spectroscopy of Correlated Materials)
Johan Mentink is an expert in the field of magnetism. He researches new magnetic effects so that future technologies will be able to store and process information much more quickly and economically while requiring considerably less processing capacity.

Research news about neuromorphic computing

neuromorphic computing

Detecting waves with single atoms for neuromorphic computing

Research news item

Researchers at Radboud University's Institute for Molecules and Materials (IMM) discovered that a single atom can detect the frequency of these waves and reflect this information in its behavior.

Letters NWO met een trofee icoon in het midden

Grant for research into neuromorphic computing

Research news item

NWO is awarding a grant to Johan Mentink's research into neuromorphic computers. These computer systems could drastically reduce the energy consumption of hardware in the future.

Cover Whitepaper Neuromorphic Computing in the Netherlands

White paper highlights potential of brain-inspired computing

Research news item

The white paper, "Neuromorphic Computing in the Netherlands", highlights significant domestic expertise in the field and advocates for the establishment of a national coalition to coordinate future efforts in alignment with other key technologies.

Contact

Journalists and other media looking for experts on neuromorphic computing can contact the university's Press Office. We can put you in touch with researchers at Radboud University, as well as provide additional information about ongoing research, PhD defences and other questions.

+31 24 361 60 00