Insider Brief
- IBM is amplifying its research partnerships with IIT Bombay and IISc in domains such as agentic AI, sovereign AI, multimodal systems, AI infrastructure, and quantum computing.
- The collaborative initiative with IIT Bombay will delve into Indic language models, multimodal AI, programming education, knowledge retrieval, and the frameworks underpinning AI infrastructure.
- The engagement with IISc will encompass agentic systems, AI tailored for energy models, and cutting-edge quantum-HPC algorithms aimed at scientific and industrial applications.
IBM has unveiled the expansion of two pivotal research collaborations in India: one with the Indian Institute of Technology (IIT) Bombay, and another with the Indian Institute of Science (IISc).
This initiative aims to accelerate innovation across the realms of agentic AI, sovereign AI, quantum computing, and next-generation computing systems.
Following a collaboration initiated in 2018, IBM researchers are set to further engage with the faculty and students from IIT Bombay.
The goal is to explore advancements in sovereign and Indic language model adaptation, as well as the sophistication of multimodal AI, AI infrastructure, and knowledge retrieval mechanisms.
In tandem, the collaboration with IISc, which commenced in 2021, will continue to develop agentic systems, AI applications, and quantum computing algorithms.
Strategic Focus Areas of the IBM-IIT Bombay Collaboration
- Sovereign and Indic language model adaptation: This initiative seeks to enhance sovereign AI and Indic language models, thereby improving multilingual AI capabilities for Indian languages through innovative model adaptation and optimization methodologies.
- Multimodal AI systems: The focus will also be on creating multimodal AI systems that bolster software programming education, foster human-AI collaboration, and propel intelligent operations within hybrid cloud environments.
- AI Infrastructure and Knowledge Retrieval: The aim is to refine intelligent knowledge retrieval via AI systems to provide faster, precise, and scalable access to enterprise knowledge. Optimizing AI runtimes and distributed inference will be key to enhancing the performance, efficiency, and scalability of large language models.
Key Pillars of the IBM-IISc Research Collaboration
- Agentic Systems: The initiative will foster agentic AI workflows that enhance orchestration in hybrid cloud environments, thereby enabling more efficient management of AI applications while balancing performance, costs, and operational complexities.
- AI for Scientific and Industry Applications: This effort aims to develop lightweight time-series foundation models, grounded in the IBM Granite model family, for energy analytics to facilitate forecasting, anomaly detection, load disaggregation, and energy optimization—all while contributing benchmark datasets to expedite broader AI research.
- Quantum Computing: Researchers will investigate orchestration for quantum and high-performance computing to expedite scientific discovery through more efficient quantum-centric supercomputing workflows and next-gen quantum-HPC algorithms.
These algorithms will utilize approximation-tolerant classical diagonalization to refine quantum subspace iteration techniques.
In comments regarding the collaborations, Dr. Amith Singhee, Director, IBM Research India and CTO, IBM India and South Asia, stated, The next wave of computing will be defined by breakthroughs in agentic AI, sovereign AI, and quantum computing.
Our partnerships with IIT Bombay and IISc unite premier academic research and IBM’s scientific acumen to resolve some of the most intricate challenges in these domains.
Collectively, we are advancing research that not only expands the horizons of computing but also cultivates practical technologies beneficial to enterprises, developers, and society at large.
Prof. Ganesh Ramakrishnan, Institute Chair Professor at the Department of Computer Science and Engineering, IIT Bombay, elaborated, “The capabilities of AI are increasingly evident in systems that can adeptly understand and reason across languages, modalities, and domains.
Our collaborative endeavors with IBM Research are paving the way for such intelligent systems by enhancing multimodal AI models, knowledge retrieval techniques, optimization strategies, agentic AI workflows, and software engineering education.
Combining our strengths in AI, language, knowledge, and intelligent computing, we foresee the emergence of trustworthy, inclusive, and scalable AI technologies that can revolutionize learning, work, and access to information both in India and globally.”
Prof. Yogesh Simmhan, Professor in the Department of Computational and Data Sciences, IISc, conveyed that the trajectory of computing will be significantly influenced by the convergence of hybrid cloud, AI agents, and quantum technologies.
IISc and IBM’s synergistic research skills will enable exploration of intelligent, cloud-native platforms capable of reasoning, adapting, and orchestrating quantum-classical, edge AI, and agentic workflows at scale, translating innovative concepts into reliable technologies with tangible global impact.
As IBM deepens its partnerships with IIT Bombay and IISc into forthcoming phases, the research agenda is aligned with the dynamic demands of enterprise AI—ranging from trusted and sovereign AI to quantum-centric supercomputing workflows and intelligent infrastructure.
By amalgamating IBM’s expertise in AI, hybrid cloud, and quantum computing with the academic prowess of two of India’s premier research institutions, these collaborations aspire to spur innovations that resonate with national objectives, uphold scientific rigor, and cater to industry relevance, all while emphasizing real-world impact.
Since the inception of these collaborations, IBM, IIT Bombay, and IISc have collectively propelled advancements in artificial intelligence, hybrid cloud, distributed systems, and quantum computing, while fostering opportunities for students and researchers to address industry-relevant challenges.
As these collaborations transition into their next phase, they will persist in cultivating interdisciplinary research, nurturing the upcoming generation of scientific talent, and accelerating innovations poised to define the future of computing.
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