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.
You can register here: https://us02web.zoom.us/webinar/register/2816590308802/WN_JC0-Zr3-Tdm-KWsw8tCt-A