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Neuromorphic sensing and computing in today’s AI landscape

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If you have a question about this talk, please contact Fulvio Forni.

Inspired by the structure and dynamics of biological brains, neuromorphic hardware has mainly been used as a tool in computational neuroscience. However, today this hardware technology has reached the stage when it could enable the next step in computing hardware, enabling real-time energy efficient AI. In this talk, I will give a historical and geographic overview of the field and its applications, with an emphasis on event-based vision and robotics.

The seminar will be held in JDB Seminar Room, Department of Engineering, and online (zoom):

This talk is part of the CUED Control Group Seminars series.

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