This tutorial aims at enabling participants to create IoT applications with AI content.
Topics covered in the tutorial
Introduction to AI - A conceptual framework
IoT, Cloud and AI: Their application in medical, consumer and industrial sectors
Introducing a platform that runs AI applications on the edge
Use case: Building an AI application- Gesture recognition
Novelty, technical significance and importance of the tutorial
Building AI applications is a makers dream in today’s innovative connected world, having relevance in multiple sectors such as medical, consumer and industrial. But doing so requires understanding of the complex AI framework and building the applications from scratch, which in itself comes across as a humongous and unachievable feat. In the session, participants would be introduced to an industry-first platform on which they can learn and use a C based AI library for rapid application development that brings together IOT and AI. We will be discussing hardware and software tradeoffs necessary to achieve acceptable performance and power. A use case that utilizes the complete platform along with a cloud component will also be presented. This tutorial aims at enabling a non-AI expert to program AI applications.
15 mins: Introduction to AI- A conceptual framework
15 mins: IoT, Cloud and AI
30 mins: Introducing a platform for running AI applications on the edge.
1.5 hours: Building an AI application: Gesture recognition
Dr. N. Govinda Rao is an AI Research Scientist at Redpine Signals. He has over 10 years of research experience and over 5 years corporate experience in data science, predictive modelling, machine learning and machine analytics. Prior to joining Redpine, he was a data scientist at Cyient. Dr. Rao has done ample work in the field of supervised and unsupervised machine learning algorithms and has delivered end-to-end analytic solutions and built multiple predictive models. He has several research publications and presentations to his credit. Dr. N. Govinda Rao had been awarded Ph.D from Andra University in 2012 and has been certified on Practical Machine Learning, Regression Models and Exploratory Data Analysis by Johns Hopkins University, Baltimore.
Mr. Karthik Suryadevara is an Embedded Engineering Professional at Redpine Signals. Having a career spanning over 10 years, Karthik has experience in developing various end- end IoT solutions and applications using Wi-Fi, BT/BLE, LF technologies. He has worked on the tape out of several products in varied domains ranging from RTLS(Real Time Location Systems) to AI (Artificial Intelligence) and has been vital in providing smart solutions for several verticals such as healthcare, industrial, supply chain/logistics and agriculture. Karthik has a Bachelor of Engineering from Sriram Engineering College, Chennai, and has been conferred his M.S from Portland State University, Oregon, USA.
Rishu Gupta is a senior application engineer at MathWorks India. He primarily focuses on image processing, computer vision, and deep learning applications. Rishu has over nine years of experience working on applications related to visual contents. He previously worked as a scientist at LG Soft India in the Research and Development unit. He has published and reviewed papers in multiple peer-reviewed conferences and journals. Rishu holds a bachelor’s degree in electronics and communication engineering from BIET Jhansi, a master’s in visual contents from Dongseo University, South Korea, working on the application of computer vision, and a Ph.D. in electrical engineering from University Technology Petronas, Malaysia with focus on biomedical image processing for ultrasound images.