tinyML Talks Toronto Part 1: Evolutionary Needs of TinyML



tinyML Talks Toronto Part 1
Evolutionary Needs of TinyML
Liang Shen, Sr. Director of Engineering
Qualcomm

During the past decade, Deep Learning based AI technology not only becomes the predominant solutions for existing or new problems, also almost instantly deployed to various smart devices. In this talk, we start with a brief review on how power-efficient AI engine helped this new AI wave and effectively enabled billions of battery-powered devices; then, we touch the new trend: always-on or long-continuous-run AI use cases, which require optimal minimum power solution. We discuss some details of ultra-low-power AI solution and how it offers the improved quality for targeted use cases. With continuous evolution of new intelligent algorithms, this talk concludes with on-going challenges and some potential directions.

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