4 papers
Beyond Silicon: Materials, Mechanisms, and Methods for Physical Neural Computing
Stefan Fischer, Nihat Ay, Olaf Landsiedel +4
Physical implementations of neural computation now extend far beyond silicon hardware, encompassing substrates such as memristive devices, photonic circuits, mechanical metamateria…
phys-MCP: A Control Plane for Heterogeneous Physical Neural Networks
Stefan Fischer, Maliheh Hariri, Sebastian Otte
Physical neural networks (PNNs) embed computation directly in material dynamics, including molecular, chemical, biological, photonic, memristive, and mechanical substrates. They ar…
Scalable Memristive-Friendly Reservoir Computing for Time Series Classification
CoÅku Can Horuz, Andrea Ceni, Claudio Gallicchio +1
Memristive devices present a promising foundation for next-generation information processing by combining memory and computation within a single physical substrate. This unique cha…
Detection of Fast-Moving Objects with Neuromorphic Hardware
Andreas Ziegler, Karl Vetter, Thomas Gossard +3
Neuromorphic Computing (NC) and Spiking Neural Networks (SNNs) in particular are often viewed as the next generation of Neural Networks (NNs). NC is a novel bio-inspired paradigm f…