By Consultants Review Team
Ericsson (NASDAQ: ERIC) has entered a three-year Memorandum of Understanding (MoU) with the Indian Statistical Institute (ISI) to support and engage in various research endeavors under the Cyber-Physical Systems (C-CPS) domain, according to a press release. This partnership entails Ericsson Research collaborating with ISI across multiple research activities.
In early February 2024, a collaborative research Center for Cyber-Physical Systems (C-CPS) was established between Ericsson Research and the Indian Statistical Institute (ISI). C-CPS functions as a virtual interdisciplinary research hub aimed at fostering both fundamental and applied research in Sustainable and Trustworthy Cyber-Physical Systems (CPS), with a focus on deploying Artificial Intelligence (AI) and CPS within the Indian ecosystem.
To commemorate this milestone, a series of discussions and deliberations were organized, with leaders from Ericsson Research and ISI engaging in dialogue regarding ongoing research initiatives and future collaborative prospects. Topics of discussion included the development of energy-efficient AI for CPS deployment at the network edge, addressing fundamental challenges in 5G and beyond network research, and exploring quantum machine learning and secure communication avenues.
Sanghamitra Bandyopadhyay, Director of ISI Kolkata, expressed enthusiasm about the collaborative research center, highlighting ISI's conducive environment for translational research aligned with future technology needs. Bandyopadhyay emphasized the institute's commitment to realizing Cyber-Physical Systems advancements in the era of AI and 6G.
Magnus Frodigh, Head of Ericsson Research, emphasized the significance of the collaboration in strengthening Ericsson's R&D commitments in India, particularly in the domains of Compute and AI research. Frodigh also shared Ericsson's vision for 6G, which aims to seamlessly integrate the physical and digital worlds, enhancing quality of life through widespread sensor-based communications between humans and machines via digital twins.
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