I am a Masters Student at National University of Singapore. Currently, I am working as a course instructor for Udacity and Intel on their nanodegree on " Intel AI on the Edge". The course is centred around choosing the right hardware for the edge. Previously I have been a part of various communities in Chennai, India. I started the first chapter of Women in Machine Learning and Data Science, Chennai. Apart from that, I have organized various workshops around the city and with female engineers. Most of these workshops were about Hands-on Machine Learning tutorials. I currently work as a researcher under Professor Dipti Srinivasan and work with Machine Learning in Smart Grids.View the profile
About the talk
Edge Computing is a computing paradigm where deep learning models are run on devices with little computational power, like a Raspberry Pi. This reduces the dependence on cloud services for using AI and also increases security and reduces latency. OpenVINO is an open-source software toolkit from Intel that abstracts away hardware related details and helps deep learning engineers and researchers build AI applications for the edge. In this talk, I will explain the features of OpenVINO, the different tools it contains and how you can use OpenVINO to easily deploy and maintain all your Deep Learning and Edge Computing applications. In particular, I will show you how you can deploy a deep learning model for detecting soiling on solar panels, a task which needs edge computing, especially if you have large solar farms, to an edge computing device called the Neural Compute Stick, using OpenVINO and DevCloud
Buy this talk
Access to all the recordings of the event
Buy this video
With ConferenceCast.tv, you get access to our library of the world's best conference talks.