The surge of interest in unconventional computing with physical systems has been driven by two main factors: the promise to build more energy-efficient or faster computers if we rethink how we harness physical processes for computing, and the rise of machine learning, which both provides motivation to build efficient machines and methods to reimagine how computers work. This conference will bring together researchers from a range of disciplines including soft matter, biophysics, neuroscience, machine learning, condensed matter, optics, and quantum information science, who typically do not have the opportunity to interact but are all exploring various aspects of computing in physical systems.
This session is organized by: Danijela MARKOVIĆ, CNRS Florian MARQUARDT, Max Planck Institute for the Science of Light Peter McMAHON, Cornell University
More information can be found on the session's website.
Published on September 22, 2025
Updated on September 22, 2025
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