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Telangana govt, MEC signs an MoU in the area of AI

MEC will provide skill development and consultancy in AI segment and extend their Supercomputer Lab facilities for individuals and startups

SNS | New Delhi |

The Government of Telangana and Mahindra Ecole Centrale (MEC) College of Engineering, Hyderabad, signed an MoU in the area of Artificial Intelligence (AI).

As per the MoU, which was signed on Thursday, MEC will provide skill development and consultancy in AI segment and extend their Supercomputer Lab facilities for individuals and startups to build compelling propositions and solutions in the area of AI.

“Public-Private Partnerships and sharing of resources is the way to learn and move way forward in the future. Government of Telangana is committed to building a startup ecosystem and we are happy to partner with the Government in helping the young entrepreneurs undertake even bigger strides in the area of Artificial Intelligence. MEC’s focus on setting up world-class labs for the people researching/working in the segment will hopefully create a viable AI ecosystem in the state and the country at large”, says Dr. Yajulu Medury, Director, Mahindra Ecole Centrale.

In August last year, MEC launched its Supercomputer Lab and is already working on several projects on Artificial Intelligence and Deep Learning. In order to address the requirements for faster computing performance and providing a robust platform for Deep Learning & Analytics and multi-disciplinary engineering simulations, the MEC Supercomputer lab was established at the MEC campus.

With an aim to conduct deeper research on AI, the Indian Institute of Technology Hyderabad too is going to collaborate with the Government of Telangana. The Institute is partnering Telangana government’s Information Technology, Electronics and Communication (ITE&C) Department, for building/identifying quality datasets, along with third parties such as the industry.

The Supercomputer Lab supports high-intensity computations both for Artificial Intelligence applications and for complex simulations in physical sciences and engineering, covering different aspects of fluid dynamics, structural mechanics, electromagnetics, integrated and optimized engineering design, molecular physics and related fields.

(With input from agencies)