Analog Computing Days '26

Frankfurt am Main, Germany, 11/12 June 2026

Speakers

   Name: Olivier Bournez
Institution: Laboratoire d'informatique de l'École Polytechnique
Talk title: Analog Computing vs Digital Computing: A View from Computation Theory
   Name: Bhaskar Choubey
Institution: Universität Siegen
Talk title: Analogue Computation with Sensing for Edge Intelligence
   Name: Michael Döll
Talk title: Learning Dynamics in Memristor-Based Equilibrium Propagation
   Name: Alex Fedorec
Institution: University College London
Talk title: Bio-computation through spatial diffusion with engineered bacteria
   Name: Daniel Garza
Institution: PROSE/INRAE
Talk title: Do microbiomes compute for their hosts?
   Name: Corey Maley
Institution: Purdue University
Talk title: How the analog paradigm challenges conventional foundations of computation: Conceptual and philosophical considerations
   Name: Paul Manea
Institution: Forschungszentrum Jülich
Talk title: Analog Compute-in-Memory Attention for Fast and Energy-Efficient Transformers
   Name: Ludovico Minati
Institution: University of Electronic Science and Technology of China
Talk title: Across neurons and silicon: some ideas about the relationship between unusual electronic circuits and neuroscience
   Name: Sara Obergassel
Institution: anabrid GmbH
Talk title: Reconfigurable Analog Computer On Chip
   Name: Zhong Sun
Institution: Peking University
Talk title: Precise and Scalable Analog Computing for Solving Matrix Equations using RRAM Chips
   Name: Daniel Thuerck
Institution: anabrid GmbH
Talk title: From AI and the cloud down to the switch - A full software stack for analog-hybrid computing
   Name: Lucas Wetzel
Institution: anabrid GmbH
Talk title: Physical analogy computing on hybrid architectures: the REDAC technology platform
   Name: Grace Li Zhang
Institution: TU-Darmstadt
Talk title: Robust and Efficient RRAM-based Neural Network Acceleration
   Name: Manyu Zhao
Institution: Freie Universität Bozen
Talk title: Distributed estimation of statistical parameters in an experimental network of single-transistor chaotic sensor nodes using frequency spectra and geometrical reconstruction