MAGIC AI

The Multicoreware IIT Palakkad Centre of Excellence fostering research and development in the areas of Artificial Intelligence, Compilers, Sensors, Video and Audio applications was inaugurated on 2nd June on the Ahalia Campus premises of IIT Palakkad by Shri Alangad Gangadharan Karunakaran, CEO McW.

Dr Satyajit Das, Assistant Professor, Computer Science and Engineering, welcomed the gathering. Director IIT-PKD, Prof P.B. Sunil Kumar in his address described the occasion as a very happy one. He lauded the fact that, apart from facilitating interaction with other industries, research and innovation was receiving a fillip in this manner. He appreciated how Shri AGK Karunakaran‘s casual effort at connecting and interest in the working of IIT because Palakkad is his native town, came to something more. He also highlighted that the Multicoreware IIT Palakkad Centre of Excellence (CoE) was ‘many things in one’ – a cluster, CoE, a research-hub and that this different mode of operation was something new. Noting the McW had people working with the industry in India and the US, and was also starting operations from Coimbatore, he wished the centre well.

Introducing himself as a serial entrepreneur, Shri AGK Karunakaran spoke of the growing importance of Multicore architecture, and the need to make parallel programming easy. Sharing snippets of his own journey, he spoke of the shift from serial to parallel programming, his opportunity to be associated with a leading US university and with the first Professor to offer a course on GPU Computing, and McW’s presence first in USA and China, and since the last 10 years in India, during which time he also became part of Friends on IIT and Tech-in. 

MulticoreWare Inc, a global technology company offering solutions and products related to compilers, machine learning & AI analytics, video encoding solutions and autonomous mobility has signed an MoU with the Indian Institute of Technology (IIT) Palakkad to establish a global innovation centre to pursue joint research activities.

MAGIC (MulticoreWare Academia Global Innovation Centre) at IIT Palakkad, will focus on multiple research areas, namely, energy efficient mapping of Deep Neural Network (DNN) models onto edge-compute devices to minimize redundant data transfers across computer and memory elements.

Energy-efficient edge compute accelerators can be used in applications such as smart manufacturing, computer vision, speech recognition and medical analysis without having the need to connect to cloud systems. They enable surveillance, vehicle, and person detection in real-time without connecting to the cloud or compromising privacy and security.

The MAGIC team is also working on Radar based In-Cabin Sensing for Automotive and Active Radar Odometry for Autonomous Localization.