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First Amgen Scholars Program in India launches at IIIT Hyderabad

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First Amgen Scholars Program in India launches at IIIT Hyderabad

Amgen today announced the launch of the first Amgen Scholars Program in India at the International Institute of Information Technology Hyderabad (IIIT Hyderabad), bringing the globally respected undergraduate summer research program to India for the first time. Supported through a two-year commitment from Amgen through summer 2027, the program reflects the company’s long-standing commitment to advancing science education and inspiring future innovators. The inaugural cohort comprises 10 undergraduate scholars, including students from India, Vietnam, Qatar, and Dubai, creating opportunities for scientific collaboration and exchange across Asia. As part of the intensive two-month residential research experience, students will explore artificial intelligence and machine learning applications in fundamental sciences, drug design and discovery, healthcare, cheminformatics, genomics and related areas alongside faculty mentors at IIIT Hyderabad.

He is a case study in deployment: IIIT Hyderabad Director on V Kamakoti’s achievements

India’s semiconductor push has gathered pace in recent years, but according to IIIT Hyderabad Director Prof Sandeep K Shukla, IIT Madras Director Professor V Kamakoti has been working towards indigenous processor design long before it became a national priority. “Prof Kamakoti started working on the SHAKTI processor – which is a RISC-V architecture-based processor, back in the early 2000s, and I recall that his team worked with Bluespec Inc to write the micro-architectural specification of the processor in Bluespec language,” Prof Shukla told India Today. Reflecting on Prof Kamakoti’s role in taking the project from the laboratory to the wider ecosystem, Prof Shukla said SHAKTI represents more than a successful processor project. Rather, he said, it demonstrates how long-term academic research can eventually translate into real-world impact. “Prof V Kamakoti’s role is a good case study in how long-horizon academic research reaches deployment,” he said.

Admissions open for 6-month AI/ML training program by iHub-Data at IIIT Hyderabad

iHub-Data at IIIT-H has opened admissions for an intensive six-month training programme in Artificial Intelligence and Machine Learning (AI/ML) for undergraduate engineering students. Designed for B Tech students from AICTE-affiliated institutions in and around Hyderabad, the programme combines strong theoretical foundations with practical, hands-on learning to prepare participants for emerging opportunities in AI. The programme offers a comprehensive introduction to both classical machine learning and modern AI techniques through a blend of classroom instruc-tion and guided practical sessions. In-person classes will be conducted on week-ends at the IIIT-H campus and will be complemented by online tutorial sessions during the week. The programme starts on September 3, and the deadline for applications is August 15. For more details, students can visit course webpage: ihub-data.ai or contact programme coordi-nator at pavanmulkalla@ihub-data.iiit.ac.in

Bigger Not Always Better: IIIT-H Researchers Show That Compact Models May Be More Effective For Brain Studies

Researchers at the International Institute of Information Technology (IIIT-Hyderabad), in association with peers from some other organisations, have identified a “sweet spot” in brain-artificial intelligence similarity studies. Their study reveals that a smaller language model can achieve brain alignment comparable to larger models, offering a more efficient, accessible approach to advanced AI. Smaller, efficient AI models are highly significant for India. They require less computational power, allowing researchers and developers to deploy advanced AI solutions on smaller instruments or mobile phones, overcoming limitations in access to massive cloud or GPU infrastructure. Subba Reddy Oota, Vijay Rowtula, and S Bapi Raju of IIIT-H presented the findings of the paper “Linguistic properties and model scale in brain encoding: from small to compressed language models” at the ICML in Seoul.

Notice Inviting tender for construction precast chiller plant package for NAB and SRIC

Notice Inviting Tender for Construction precast chiller plant package for NAB and SRIC   International Institute of Information Technology Hyderabad   Tender No IIITH/UE/AB-SRIC/2026-27/1                  Date  29.07.2026 1 Name of work                                                         Construction of precast building for new chiller plant room for the proposed New academic block and SRIC services for IIIT, Hyderabad, at Survey No. 25(P), […]

BTech in Civil Engineering or Civil, Infrastructure Engineering: What to choose?

As engineering admissions gather pace across the country, many students are comparing the long-established BTech in Civil Engineering with the newer BTech in Civil and Infrastructure Engineering. While the course names sound similar, many students wonder whether the newer programme offers better career prospects or a different learning experience. According to Dr P Pravin Kumar Venkat Rao, Assistant Professor at the Earthquake Engineering Research Centre, IIIT Hyderabad, the distinction lies primarily in the academic emphasis rather than the engineering fundamentals. Dr Rao notes that while the technical foundation remains common, students in infrastructure-focused programmes often work with broader questions involving urban mobility, integrated planning and long-term infrastructure management.

AI traffic cop VIOLA helps Telangana police detect violations using dashcams

IIIT Hyderabad researchers have developed a virtual traffic cop—VIOLA, an AI-powered traffic violation detection system that uses low-cost dash cams installed in police patrol vehicles. The technology deployed with the Telangana Police reported that nearly 96 per cent of the violations submitted by the AI are accurate. Presently, traffic enforcement depends on CCTV cameras and hand-held cameras with traffic police personnel. These cameras are expensive to install and maintain and limited to fixed locations. Further, drivers know where the cameras are and where they are not. In addition, the Automatic Number Plate Recognition (ANPR) technology currently being used is unable to catch all violations automatically without humans in the loop. The AI model analysed footage to detect helmet violations, triple riding, wrong-side driving and other offences.