Anuj Dutt

Deep Learning Researcher, Bose Corporation

Boston

A lot of the cool new features that we love on our phones like face recognition in photos, Face-ID for authentication, smart reply in Gmail etc. rely on Machine Learning, most of which takes place on device. But, it can be really challenging to deploy these Machine Learning models on edge devices like Mobile Phones, embedded processors etc. In this talk, we will discuss that why we should look at doing Machine Learning inference locally on the mobile devices and also explore that what kind of an expertise is required for a developer to deploy a Machine Learning model on a Mobile Device. We will also develop and train some Machine Learning models for different use cases, deploy the trained models in an Android/iOS App and see that how we can leverage the power of the CPU/GPU/AI Chips on our Mobile Phones/embedded devices etc. for doing inference locally.