tinyML EMEA 2022 Alberto Sangiovanni-Vincentelli: Neuromorphic computing, tools and applications for

tinyML EMEA 2022 Keynote
Neuromorphic computing, tools and applications for TinyML
Alberto L. SANGIOVANNI-VINCENTELLI, Professor, The Edgar L. and Harold H. Buttner Chair of EECS, UC Berkeley

TinyML requires particular attention to resource constraints such as power consumption, computational and memory limitations. ML is notoriously expensive in the resources that are constrained in tiny devices. I will present a particular approach to neuromorphic computing as an architecture that is suitable for TinyML given the power, memory and computation envelop. I will discuss the tools that could be deployed for this particular architecture first and I will outline the need to combine in a tight loop HW and SW design to obtain an optimal design. Finally, I will present the challenges posed by some applications with particular attention to the automotive industry.

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