The talk takes a journey from the early stages of CMOS design to current memristor nanoelectronics with critical views for device threading, interconnect and technology for achieving multidimensional design goals: reliability, throughput performance, energy consumption and manufacturing costs.

These principles are applied to neuromorphic systems for brain-inspired computation. The powerful capabilities of these neuromorphic processors can be applied to a plethora of real-world challenges, from data-driven healthcare, to neurostimulation, and in AI-generated artwork, as we make a profound shift away from the sequential processing of Von Neumann machines towards parallel, interconnected neural-inspired structures.

Watch the recording here: http://ecctd2020.eu/node/22