Events
The lecture titled “Resistive switching devices in information processing” will be delivered by Dr Tomasz Mazur (AGH University Academic Centre for Materials and Nanotechnology).
Participation:
Abstract
Resistive switching devices are expected shortly to enable a change in the way electronic systems process information. Most advanced modern systems, although based on neural networks, essentially run on software algorithms, executed on large computational clusters. These computing machines experience performance limitations and have high energy consumption. To overcome these technological hurdles in hardware-based neuromorphic networks, that aim to depart from traditional silicon-based computational paradigms, there is potential to adopt resistive switching systems with nonlinear and plasticity-like characteristics. The first step towards this vision is research focused on material discovery. Characterizing and harnessing these materials sets the cornerstone for the emergence of real-world analogue computational devices, operating with significantly reduced Energy consumption.
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