HIGHLIGHTS
- who: Mohsen Imani from the University of Maryland, College Park, United States have published the Article: EventHD: Robust and efficient hyperdimensional learning with neuromorphic sensor, in the Journal: (JOURNAL)
- what: The authors propose a novel hyperdimensional encoding module that receives neuromorphic data and maps it to holographic hyperdimensional spikes with highly sparse representation. The authors show EventHD capability to memorize associated perception-action and define the theoretical capacity of this model to reason based on prior knowledge. The authors evaluate EventHD efficiency and accuracy over various data collected from DVS sensors. The authors design the . . .
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