The rapid urbanization of modern cities has driven the evolution of Smart City initiatives, emphasizing sustainability, citizen-centric services, and enhanced quality of life. As cities worldwide strive to optimize infrastructure and resource management, intelligent enabling technologies continue to play a critical role in this transformation. TSDSI, India’s Telecom SDO and a Type 1 partner of the global oneM2M Partnership Project, conducted the oneM2M Stakeholders Day on 12 February 2025 at the Research & Innovation Park, IIT Delhi. The white paper on Innovations For Sustainable Urban Living: Insights into Smart City Solutions was officially launched during the event, marking a significant milestone in contributions to Smart Cities.

As part of the Techforward Research Seminar series, Prof. Ponnurangam Kumaraguru briefly touches upon the pitfalls of LLMs and the ways in which they can be made to unlearn or forget content. In today’s world we rely on technology to accelerate response times to our tasks or queries, to gather accurate information and assist us efficiently. Let’s take the example of 3 everyday technological tools that almost everyone lives with – Google Translate, ChatGPT and WhatsApp. Now, let’s look at some of their imperfections. For instance, a test – that anyone can conduct – across these 3 tools reveals the gender biases that are present. In Google Translate, the prompt for “My friend is a doctor” will translate it to “Mera friend ek doctor hai” while “My friend is a nurse” translates it to “Meri friend ek doctor hai”.

AlphaGrep announced a strategic academic collaboration with IIITH’s Precog group of researchers who study, analyse, and build various aspects of AI systems. Spanning several areas ranging from Applied ML, Responsible and Safe AI, NLP, and Social Network Analysis, Precog develops solutions that contribute to the greater good of society. As part of this collaboration, AlphaGrep has committed ₹3.5 crores to support groundbreaking research, skill-building, and real-world applications of AI/ML in quantitative finance. The initiative spearheaded by Prof. P Kumaraguru (PK), Mr. M Mutreja, and Mr, H Mandalia, will facilitate faculty and student driven research, fostering technical advancements and strengthening the bridge between academia and industry.