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9 November 2026
Global technology company, Affle 3i Limited has announced the launch of the ‘Kedia Doctoral Research Scholarship’ at the International Institute of Information Technology, Hyderabad (IIIT Hyderabad). According to a release from the institute on Friday, the launch is in commemorating 20 years of leadership and contributions by its COO – India & Emerging Markets, Vipul Kedia. Mr. Kedia, an alumnus of IIIT Hyderabad, said the scholarship reflects Affle’s commitment to innovation, research excellence and creating a lasting societal impact. Supported by annual contributions from Affle, the scholarship will fund one doctoral researcher every year for the next 20 years, covering tuition fee, stipend, research expenses and dissemination costs.
5 November 2026
Indigenous technologies in electronics and information technology, with a focus on cybersecurity, artificial intelligence (AI), quantum technologies and the Internet of Things (IoT), were showcased at a technology roadshow held at the CSIR-National Geophysical Research Institute (NGRI) on Wednesday, 4th November 2026. MosChip Technologies CEO and managing director Kakumanu Srinivasa and IIIT Hyderabad professor Sandeep Kumar Shukla attended as guests of honour. The event, organised by the Centre for Development of Advanced Computing (C-DAC), Hyderabad, in association with SAMEER and C-MET, was a precursor to Tec-Verse 2026, scheduled for November 26 and 27 at the Chennai Trade Centre. Two parallel sessions focused on cybersecurity, quantum technologies, Al and lot.
4 November 2026
An ordinary photograph of a room, combined with a written instruction, could help artificial intelligence create an animated human movement. This is one of five research projects from the International Institute of Information Technology, Hyderabad (IIIT‑H), selected for NeurIPS 2026, a leading international AI conference. The project, ENACT, led by Prof. Charu Sharma, uses existing AI tools to understand a photograph, plan an action and generate the corresponding movement. “Since casual images of indoor environments exist aplenty, we leveraged those along with free‑form text instruction to create animated motion,” Sharma said. The technology could help generate training material for robots, although it is currently limited to static scenes and cannot handle actions such as opening drawers or carrying objects.
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