Title: Brain-like computing using disordered dopant networks in silicon
Speaker: Peter Bobbert (CCER)
Time: April 30, 2020, 10:00–11:00
Location: Online (MS Teams)
A disordered network that is capable of detecting ordered patterns: it sounds contradictory, but it comes close to the way our brain works. I will discuss in this seminar a system of interacting electrons hopping on a disordered dopant networks in silicon that does precisely this. The complex physics and reconfigurability of this system can be exploited to perform various computing tasks like the recognition of basic patterns. The use of a surrogate model of the system based on a deep neural network allows rapid reconfiguration of the network for a desired computing task without the need of any further experimentation. Coupling of these networks in superstructures can lead to a computing technology that has the potential to outcompete conventional CMOS technology regarding energy consumption and footprint.