Computing with physics: Biological and bio-inspired intelligence

Dr. Mihai A. Petrovici (Universität Bern)

Whether biological or artificial, intelligence ultimately boils down to the ability of physical substrates to perform (complex) computations efficiently. Understanding intelligence thus requires overcoming a set of interrelated - and interdisciplinary - challenges. As computational neuroscientists, we need to figure out which aspects of biological dynamics are relevant for information processing. As physicists, we need to build appropriate theories and models thereof. As computer scientists, we need to understand which algorithms can "run" on such dynamics. And as engineers, we seek to build devices that emulate them efficiently.

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