Moe Sani

Machine learning on connected embedded devices

In this talk, Moe will discuss the exciting possibilities of implementing machine learning algorithms on small, connected embedded devices, such as in smart homes, wearable devices, and industrial automation. He will highlight the opportunities, as well as the challenges that come with this, given the devices’ limited processing power and memory capacity.

By the end of this talk, you will have a better understanding of the possibilities of implementing machine learning on connected embedded devices. You will have new insights about the strategies and considerations necessary to develop efficient algorithms and models, and optimize the performance on these devices.