Energy efficient brain-like Computing

Description

© Fraunhofer EMFT/ Bernd Müller
Thermal assisted chemical vapor deposition on 8inch wafer.

In the EU project NeurONN, launched in early 2020, a research team from Fraunhofer EMFT is working with six European partners on a new neuromorphic approach based on energy-efficient elements and architectures. In the proposed neurologically inspired computer architecture, information is encrypted in the phase of coupled oscillating elements that are interconnected to form a neural network.  Just like the brain, the two key components in neuromorphic computing are called neuron and synapse - they replicate the distributed computing and memory units. The neurons used in the project are novel elements based on vanadium dioxide, which can be 250 times more efficient than state-of-the-art digital oscillators based on CMOS.

The work package of the Fraunhofer EMFT focuses particularly on the synapses: Within the framework of NeurONN, the scientists are developing 2D memristors on a nanoscale based on innovative 2D nanomaterials. The tiny devices are expected to be 330 times more efficient in terms of operating speed, lifetime and energy consumption than currently used technologies.

Partners

  • CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS (Coordination)
  • A I MERGENCE
  • AGENCIA ESTATAL CONSEJO SUPERIOR DEINVESTIGACIONES CIENTIFICAS
  • FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V.
  • IBM RESEARCH GMBH
  • SILVACO EUROPE LTD

Funding

The project is funded under the EU research program Horizon 2020 under grant number 871501.