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UVA ECE Seminar Series | Garrett S. Rose: Neuromorphic Computing Hardware Design
The concept of neuromorphic systems is a "natural" candidate for emerging computer architectures. Neuromorphic computer architectures are inspired by biology in that their operation is based on our best understanding of the functionality of the mammalian brain. While artificial neural networks can be constructed from conventional electronic devices such as transistors, emerging nanoscale devices (e.g. memristors) exhibit properties particularly well suited for building high density, power-efficient neuromorphic systems. Rose will discuss his group's research, including the how memristive devices can be exploited as synaptic elements in complex neural networks. This approach of "memristors as synapses" has been applied to several neuromorphic architectures. He will also discuss training methods for the memristor-based neuromorphic systems designed by his group.

Oct 15, 2021 02:00 PM in Eastern Time (US and Canada)

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