EU H2020 NEURONN

EU H2020 ICT NEURONN 2020-2022 Two-Dimensional Oscillatory Neural Networks for Energy Efficient Neuromorphic Computing Coordinator: Dr. Aida Todri-Sanial, CNRS Partners: CNRS, FR IBM Research Zurich, Switzerland Fraunhofer, Germany CSIC/University of Seville, Spain Silvaco, UK A.I. Mergence, France Advisory Board: Intel, Germany Prophesee, France Neuro-inspired computing employs technologies that enable brain-inspired computing hardware for more efficient and adaptive intelligent systems. Mimicking the human brain and nervous system, these computing architectures are excellent candidates for solving complex and large-scale associative learning problems. The EU-funded NeurONN project will showcase a novel and alternative neuromorphic computing paradigm based on energy-efficient devices and architectures. In the proposed neuro-inspired computing architecture, information will be encoded in the phase of coupled oscillating neurons or oscillatory neural networks (ONN).