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Digital twin for water utility network

Water is one of the most precious resources in urban areas, yet a significant amount is wasted due to leakages, inefficient distribution, and excessive usage. To tackle this issue, Smart Living Lab has developed a Digital Twin for water utility networks which digitally represents a physical item or assembly using integrated simulations and service data. The digital representation holds information from multiple sources across the product life cycle. This information is continuously updated and visualised in various ways to predict current and future conditions in both design and operational environments to enhance decision-making. The Digital Twin is best described as the effortless integration of data between a physical and virtual machine in either. In general, many smart city deployments have become expensive and large as there are no platforms to evaluate the plan and the requirements before actual deployment.

CIE@IIITH showcases 25 research connected startups at the Annual R&D showcase

IIITH celebrated its research excellence at R&D Showcase 2025, featuring over 400+ recent research works from 28 research centers. As part of this grand celebration, CIE the institute’s innovation and entrepreneurship hub showcased its deeptech startups. These startups have been actively engaging with IIITH’s research and faculty. Among the 40+ startups that have engaged with IIITH faculty and research, 25 promising startups were featured at the R&D Startup Showcase. These ventures span multiple deeptech domains, including DeepAI, Lifesciences, Engineering, Mobility, and SaaS, ServiceTech, demonstrating impactful technological advancements. The Hyderabad Innovation Ecosystem including VCs, corporates, mentors, ecosystem enablers, faculty, researchers, and students were invited to interact with these trailblazing startups.

Prof. P J Narayanan’s interview with DataQuest

Indian academic corridors are standing between two atriums. On the one hand, some struggle with concerns on integrity in academic research (Whether in publications or
corporate projects).. On the other hand, some are driving front-runner work in drug discovery, cancer imaging, clinical research, road safety and environmental impact. Let’s find out where India is heading as we enter the Sophomore level in AI. It is very sad and unfortunate for India to get such notoriety with respect to academic honesty. We must establish models and incentives that promote honest work and just rewards. The regulatory mechanism insists on doctoral degrees for all faculty in all kinds of institutions. Good understanding and teaching abilities must suffice to do well in teaching institutions that form the bulk of our higher education institutions. Everyone wants a PhD despite their own aspirations or guidance available.

R&D Showcase 2025

Andhra Jyothi (Print) Eenadu (Print) Eenadu-1 (Print) Sakshi (Print) Sakshi-1 (Print)

R&D Showcase 2025

IIITH’s annual R&D Showcase provided a unique opportunity for viewers to interact with faculty and students to understand their work in more tangible forms through demos, prototypes and presentations in keeping with the institute’s endeavour to promote applied research that benefits society. This year’s Showcase was themed Tech for Sustainable Futures was held on 8 and 9 March. The Showcase included 300+ research posters, demos and models from IIITH’s 28 research centres, confluences, research reflections and a research startup showcase by Centre for Center for Innovation and Entrepreneurship (CIE). The event had roundtable discussions, plenary panel discussions, student seminars, industry-research dialogues etc. Prof. Martial Herbet, Dean and University Professor of Robotics, School of Computer Science, CMU gave the inaugural talk on Challenges towards the next generation of AI sytems.

Facing the Reality of Modern AI

Modern AI is poised to ignite the world — in all senses! Built upon different architectures of deep neural networks, Large Language Models (LLMs) and Large Vision Models (LVMs) enable computers to understand and generate text and visual content. They are not just transforming industries, they are reshaping the very fabric of how we seek and express knowledge in the ocean of data in the world, most of which cannot be known by any single human individual. As academia and industry come together to unlock their full potential, it’s crucial to examine the workings behind these models, and look at the challenges and opportunities that lie ahead. At the core, there really is no magic. The models are designed to recognise patterns, generate content or make predictions by minimising a loss function by propagating errors backwards through multiple deep layers of a neural network, arranged in various architectures.