Media Summary: On-device ML enables applications to improve privacy and latency compared to server-based solutions. Utilizing the unique ... In this talk, applied research scientist Natalia Gimelshein speaks about the performance improvements in In this talk, Maxim Lukiyanov, a product manager at Microsoft's Azure AI Platform, describes improvements within the Windows ...
Pytorch Mobile Pytorch Developer Day 2020 - Detailed Analysis & Overview
On-device ML enables applications to improve privacy and latency compared to server-based solutions. Utilizing the unique ... In this talk, applied research scientist Natalia Gimelshein speaks about the performance improvements in In this talk, Maxim Lukiyanov, a product manager at Microsoft's Azure AI Platform, describes improvements within the Windows ... Running ML on edge devices is growing in importance as applications continue to demand lower latency. It is also a foundational ... Watch the full set of talks from the 2019 In this talk, Ph.D. student Andrew Trask and
In this talk, software engineer Mike Ruberry examines how
