3 papers
cs.LG2025
Learning Dynamics in Memristor-Based Equilibrium Propagation
Michael Döll, Andreas Müller, Bernd Ulmann
Memristor-based in-memory computing has emerged as a promising paradigm to overcome the constraints of the von Neumann bottleneck and the memory wall by enabling fully parallelisab…
cs.ET2025
Brain Organoid Computing -- an Overview
Yannic Talavera, Bernd Ulmann
The aim of this paper is to give an overview of brain organoid computing, its characteristics, challenges, as well as possible advantages for future applications in the field of ar…
cs.ET2025
Experiments with an oscillator based Ising machine
Shrish Roy, Bernd Ulmann
Interest in non-algorithmic, unconventional computing is rising in recent years due to more and more apparent short comings of classic stored-program digital computers, such as ene…