most citedBeyond Silicon: Materials, Mechanisms, and Methods for Physical Neural Computing

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DC2026

Trust-Aware Output Management for Physical Neural Network in Cloud-Continuum Systems

Maliheh Hariri, Stefan Fischer

Physical Neural Networks (PNNs) introduce new opportunities for cloud continuum computing, but their outputs may be affected by noise, drift, delay, and incomplete reliability info…

cs.NE2026★ 1 cited

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…

cs.DC2026

CPN: A Control Plane for Heterogeneous Physical Neural Networks

Stefan Fischer, Maliheh Hariri, Sebastian Otte

Physical neural networks (PNNs) exploit diverse physical substrates---spanning molecular, wetware, and solid-state devices---to perform embodied neural computation close to physica…

cs.ET2026

Embedded DNA Inference in In-Body Nanonetworks: Detection, Delay, and Communication Trade-Offs

Stefan Fischer

In-body molecular nanonetworks promise early abnormality detection close to the source of biochemical events, but their communication capabilities are severely constrained by slow…

cs.AI2021

Lifting DecPOMDPs for Nanoscale Systems -- A Work in Progress

Tanya Braun, Stefan Fischer, Florian Lau +1

DNA-based nanonetworks have a wide range of promising use cases, especially in the field of medicine. With a large set of agents, a partially observable stochastic environment, and…