Power-efficient Edge AI Applications through Neuromorphic Processing Webinar
Join BrainChip at this upcoming Webinar organized by the Edge AI and Vision Alliance.
Many edge-AI processors take advantage of the spatial sparsity in neural network models to eliminate unnecessary computations and save power. Neuromorphic processors achieve further savings by performing event-based computation, which exploits the temporal sparsity inherent in data generated by audio, vision, olfactory, lidar, and other edge sensors.
This presentation will provide an update on the AKD1000, BrainChip’s first Neural network SoC (NSoC), and describe the advantages of processing information in the event-domain. A question-and-answer session will follow the presentation.
Don’t miss this opportunity to learn more about how BrainChip is using neuromorphic processing to take AI to the Edge.
