4 papers
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…
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…
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…
Building a simple oscillator based Ising machine for research and education
Bernd Ulmann, Shrish Roy
Oscillator based Ising machines are non-von-Neumann machines ideally suited for solving combinatorial problems otherwise intractable on classic stored-program digital computers due…