tinyML Neuromorphic Engineering Forum Tuesday, September 27, 2022 – Virtual

Join BrainChip’s Chief Development Officer, Anil Mankar as he speaks during this virtual conference. Mankar’s presentation will discuss how BrainChip’s neuromorphic design architecture, Akida™, brings ML algorithms into the neuromorphic computing domain by executing them as spiking neural networks (SNNs). He will highlight how hardware design choices such as the event-based computing paradigm, low-bit width precision computation, the co-location of processing and memory, distributed computation, and support for efficient, on-chip learning algorithms enable low-power, high-performance ML execution at the edge. Finally, Mankar will discuss how this architecture supports next-generation SNN algorithms such as binarized CNNs and algorithms that efficiently utilize temporal information to increase accuracy.

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