EMEA 2021 Success Stories - Spike-based neuromorphic computing for the extreme edge

EMEA 2021 Success Stories – Projects relevant to tinyML Spike-based neuromorphic computing for the extreme edge Federico CORRADI, Senior Neuromorphic Researcher, IMEC Neuromorphic sensing is an engineering paradigm for AI at the extreme edge. The neuromorphic key concepts underpinning our research are on-demand computing, sparsity, time-series processing, event-based sensory fusion, and learning. It can meet strict energy and cost constraints for robotic, automotive, and consumer sensing applications (vision, radar, lidar, etc.). IMEC develops compute architectures for event-based sensors, using neurons with co- located memory and processing. This short presentation will discuss our first neuromorphic spike-based architecture (μBrain) and illustrate its potential for various sensing tasks.

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