Ericsson
has signed an MoU with ISI for three years whereby Ericsson Research plans to support and collaborate with ISI in multiple research activities to be carried out under the Cyber-Physical Systems (C-CPS) umbrella. A collaborative research Centre for Cyber-Physical Systems (C-CPS) between Ericsson Research and Indian Statistical Institute (ISI) has been set up in this month.
C-CPS is a virtual interdisciplinary research centre set up with the aim to foster both fundamental and applied research in
Sustainable
and Trustworthy Cyber-Physical Systems (CPS) with immediate impact in deploying AI and CPS in the Indian ecosystem.
Elaborating on the partnership between Indian Statistical Institute and Ericsson, Dr Magnus Frodigh, Head of Ericsson Research, states, “This collaboration strengthens our R&D commitments in India and is pivotal to Compute and AI research. We are excited to partner with ISI and look forward to collaborative research in fundamental areas as well as translational research for our Future Network Platforms”. Dr Frodigh also presented Ericsson’s vision on 6G which aims to blend the physical and digital worlds enabling us to improve the quality of life by incorporating widespread Sensor-based communications between humans and machines through digital twins.
Nitin Bansal
, Managing Director of Ericsson India states, “Ericsson has a strong focus on R&D and we believe our research partnerships in AI and 6G with academic institutions will enable us to build a strong foundation for the country’s 6G program. We are the leaders in 5G and our research initiatives are geared to provide affordable network platforms for ubiquitous connectivity all across the country”.
Speaking about the program, Professor
Diganta Mukherjee
, Chairperson of the Cell for Cooperation with Academia, Industry and Research Labs (C-CAIR), ISI remarked, “Industry academia partnership is the future of R&D. We are very happy to partner with the technology giant Ericsson in research collaborations. We hope that this MoU will lead to further opportunities for working together in the Data Science and Machine Learning domain applied to 6G telecommunication as well as classical and quantum secure communication.”
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