systems that mimic our human perception. However, efficient spatiotemporal processing
algorithms must enable their low-power, low-latency, real-world application. In this talk, we
highlight our recent efforts in this direction. Specifically, we talk about how brain-inspired
algorithms such as spiking neural networks (SNNs) can approximate spatiotemporal
sequences efficiently without requiring complex recurrent structures. Next, we discuss their …