"India Establishes Four AI Centres of Excellence Across Key Sectors"
AI Centre of Excellence (AI-CoE)
A government-funded research hub at a premier institution developing domain-specific AI models for public benefit.
Automatic Speech Recognition (ASR)
AI technology that converts spoken language into text, enabling voice-based digital access.
India's ambition to become a global AI powerhouse is anchored in the vision of "Make AI in India and Make AI work for India" — a dual mandate that distinguishes between building indigenous AI capability and deploying AI for tangible public benefit. This vision recognises that AI is not merely a commercial technology but a strategic national asset with implications for agriculture, healthcare, urban management, and education — sectors where India faces acute governance challenges at scale.
The policy architecture for AI in India has evolved through several layers. The NITI Aayog's National Strategy for Artificial Intelligence (released as #AIforAll) first articulated a sectoral approach, identifying healthcare, agriculture, education, smart cities, and smart mobility as priority domains. This was followed by the IndiaAI Mission, which provides the broader programmatic umbrella for compute infrastructure, data ecosystems, and talent development. The Centres of Excellence initiative sits within this broader ecosystem as the research-and-application arm — translating foundational AI research into deployable models for India-specific problems.
The institutional choice of IITs and IISc as anchors for these CoEs reflects a deliberate strategy: these institutions combine research depth with existing industry linkages and the capacity to lead large consortia of academic, government, and private partners. This consortium model is significant — it distributes both intellectual contribution and accountability across the ecosystem rather than concentrating it in a single agency.
The Government of India has established four AI Centres of Excellence (AI-CoEs), each focused on a distinct high-priority domain. The first three — covering Agriculture, Sustainable Cities, and Healthcare — were announced in the Union Budget 2023-24 with a combined outlay of ₹990 crore, led by IIT Ropar, IIT Kanpur, and IISc Bengaluru respectively. A fourth CoE for Education, with an outlay of ₹500 crore, was announced in the Union Budget 2025-26 and established at IIT Madras.
Each CoE operates through a consortium model, partnering with networks of academic institutions, industry players, and government organisations. The research outputs are domain-specific and practically oriented. The AI-CoE for Education (IIT Madras) has developed machine learning models for Automatic Speech Recognition (ASR), Optical Character Recognition (OCR), Machine Translation (MT), and Text-to-Speech (TTS) — all with support for Indian languages, directly addressing the linguistic diversity challenge in digital public services. …
With the present state of development, Artificial Intelligence can effectively do which of the following?
1.Bring down electricity consumption in industrial units
2.Create meaningful short stories and songs
3.Disease diagnosis
4.Text-to-Speech Conversion
5.Wireless transmission of electrical energy
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Which of the following statements with regard to Large Language Models (LLMs) used in machine learning is/are correct?
1.LLMs assign probabilities to the next possible word and then pick the one with the highest probability.
2.LLMs process data through mathematical optimization to minimise prediction errors.
3.LLMs produce unbiased outputs.
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Which of the following statements is/are correct regarding Smart India Hackathon 2017?
1.It is a centrally sponsored scheme for developing every city of our country into Smart Cities in a decade.
2.It is an initiative to identify new digital technology innovations for solving the many problems faced by our country.
3.It is a programme aimed at making all the financial transactions in our country completely digital in a decade.
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Consider the following pairs of AI Centres of Excellence (AI-CoEs) and their lead institutions:
1.Agriculture — IIT Ropar
2.Sustainable Cities — IIT Kanpur
3.Healthcare — IIT Madras
4.Education — IISc Bengaluru
How many of the above pairs are correctly matched?
With reference to India's AI Centres of Excellence (AI-CoEs), consider the following statements:
1.The first three AI-CoEs were announced in the Union Budget 2023-24 with a combined outlay of ₹990 crore.
2.The AI-CoE for Education has developed models for crop and pest identification.
3.The governance structure includes an Apex Committee, a Project Monitoring and Review Committee, and a Central Project Management Unit.
Which of the statements given above is/are correct?
Which of the following AI capabilities has been developed by India's AI Centre of Excellence for Education at IIT Madras?
1.Automatic Speech Recognition (ASR) for Indian languages
2.Urban flood prediction models
3.Optical Character Recognition (OCR)
4.Machine Translation (MT)
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With reference to India's AI policy ecosystem, which of the following statements is/are correct?
1.The AI-CoE for Sustainable Cities has developed models for air pollution attribution and urban flood prediction.
2.The total combined budget outlay for all four AI-CoEs is ₹1,490 crore.
3.The IndiaAI Mission and the AI-CoEs are the same programme with different names.
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