IBM Widens AI, Quantum Research With IIT Bombay, IISc
The expanded partnership will cover Indic language models, agentic systems and quantum computing.
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IBM is expanding research partnerships with IIT Bombay and the Indian Institute of Science, adding work on Indic language models, agentic AI and quantum computing.
The company said the next phase of its collaboration with IIT Bombay, which began in 2018, will focus on adapting AI models for Indian languages, multimodal systems, enterprise knowledge retrieval and the computing infrastructure needed to run large language models efficiently.
Researchers will also explore the use of multimodal AI in software programming education and human-AI collaboration, alongside techniques for improving distributed inference and AI runtimes.
IBM’s partnership with IISc, which dates to 2021, will take a different track. Researchers will work on agentic systems, AI models for energy applications and algorithms combining quantum and high-performance computing.
One strand will develop lightweight time-series foundation models based on IBM’s Granite family for tasks including energy forecasting, anomaly detection, load disaggregation and optimization. The partners also plan to contribute benchmark datasets for related research.
On quantum computing, IBM and IISc will study how quantum and classical high-performance systems can be orchestrated together, including new algorithms aimed at scientific and industrial workloads.
“The next wave of computing will be shaped by advances in agentic AI, sovereign AI, and quantum computing,” said Amith Singhee, director of IBM Research India and CTO of IBM India and South Asia.
The IIT Bombay work also places particular emphasis on Indic language models and sovereign AI, an area gaining attention as Indian organizations seek greater control over the models, infrastructure and data used in AI systems.
Ganesh Ramakrishnan, an Institute Chair Professor at IIT Bombay, said the collaboration is laying groundwork across multimodal AI, knowledge retrieval, optimization and AI-assisted software engineering.
