Four research students from the International Institute of Information Technology Hyderabad (IIIT-H), a research institute in Gachibowli, which is not only a home for research but also recognised as a higher education institution at the national and international level, have been recognised at the national level. A list of the top 100 artificial intelligence/machine learning researchers in India has been compiled. Four research students from IIIT Hyderabad have found a place in it. It is a special privilege that Amazon has recognised these four students from IIIT Hyderabad. They are Asitva Srivastava, Nilga, Kiran Ravish, and Chirag Parikh. They were congratulated by several IIIT-H professors, faculty representatives, officials, and research students.

The International Institute of Information Technology Hyderabad (IIIT Hyderabad) and measurement technologies firm Hexagon R&D India on Wednesday announced their collaboration to establish the Hexagon Digital Twin Centre of Excellence (CoE) at the campus of the institute. The CoE will focus on driving applied research, education, and industry collaboration in computer vision, spatial computing, and digital twins, powered by artificial intelligence (AI), according to a statement. The collaboration aims to provide students, faculty, and researchers at IIIT Hyderabad access to Hexagon’s advanced precision imaging laser scanner, which enables high-fidelity digital twin creation.

For engineering aspirants, choosing between BTech Computer Science and Engineering (CSE) and BTech Artificial Intelligence and Machine Learning (AI & ML) can be confusing. While both programmes share several computing fundamentals, their focus differs in terms of breadth and specialisation. Prof Kishore Kothapalli, Dean, Academics, IIIT-H, explains the key differences to help students understand what each course offers. As per the dean, CSE provides a broader foundation across computer science and computing systems, while AI & ML combines computing fundamentals with greater emphasis on artificial intelligence, machine learning, mathematics, statistics and data-driven applications. The mathematics component is also important.