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Research Seminar 5th November- Beyond von-Neumann architectures: Scalable neuromorphic hardware

Abstract: Biological neural systems outperform the most advanced computing machines in solving nondeterministic, highly complex and multi-dimensional tasks. Performing such tasks in real-time needs extremely complex classical (von Neumann) computing machines, and hence, rendering them impractical. In contrast, biological neural systems autonomously process information in complex environments by learning features and associations. Since real world […]

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