The International Institute of Information Technology Hyderabad’s (IIIT-H) Robotics Research Center (RRC) and Ati Robotics have collaborated for three years to develop AI-based navigation for autonomous warehouse robots. This research focuses on non-LiDAR-based technology, using cameras, image sequences, and 3D foundational models for navigation. The approach aims to reduce the need for heavy, dense LiDAR maps, employing sparse localization based on visual landmarks. Rather than using dense LiDAR maps, IIIT-H researchers experimented with sparse localization, which estimates a robot’s position with limited data or landmarks. In indoor settings like warehouses, this involves decomposing scenes into landmarks such as “next to the door” or “opposite the elevator,” according to Professor Madhava Krishna.

International Institute of Information Technology – Hyderabad (IIIT Hyderabad) and the National Payments Corporation of India (NPCI) have signed a memorandum of understanding to collaborate on strengthening cybersecurity across India’s digital payments ecosystem. The collaboration will focus on research, innovation and capacity building to address emerging risks in digital transactions. The partnership combines NPCI’s experience in developing and operating national payment systems with IIIT Hyderabad’s advanced technology research capabilities. The initiative at IIIT Hyderabad will be led by the Cyber Manthan Centre, which works in cybersecurity, digital forensics and trusted infrastructure, with institute director Prof Sandeep K Shukla steering the engagement.

“Most Indian exam leaks happen during distribution, days before the test. Lastminute AI assembly only stops distribution leaks if we replace physical shipping with encrypted digital transmission on the morning of the exam,” says Prof Praveen Garimella, Associate Professor of Practice and co-leader at the Centre for Educational Technology and Learning Sciences (CETLS), IIIT Hyderabad. However, experts argue that AI alone cannot guarantee exam integrity. Prof Garimella cautions against asking algorithms to “invent brand-new questions from scratch” on exam day, as this risks factual errors and ambiguous options. Instead, he suggests using AI to help experts build a pre-verified question bank from which a paper can be assembled shortly before the test. Prof Garimella notes that this approach makes human review practical, even at scale.