Google DeepMind Expands India Partnerships for AI in Science and Education

What Google DeepMind Announced

Google DeepMind said on February 18, 2026 that it is expanding collaboration with Indian government bodies and local institutions under its National Partnerships for AI effort. The company framed the initiative as a long-term deployment program rather than a single product launch: frontier models, researcher support, training, and implementation programs are being packaged together to target outcomes in science, education, resilience, and public services.

According to the official post, India is playing a central role in the global AI transition, and this partnership is designed to align AI capabilities with national priorities. Source: Google DeepMind blog.

Science Track: ANRF Collaboration and Research Tooling

Google DeepMind, Google Research, and Google.org said they are partnering with ANRF (Anusandhan National Research Foundation) to support AI model adoption in scientific research. The published plan includes access to AlphaGenome, AI Co-scientist, and Earth AI, alongside hackathons, community competitions, and mentorship for students and early-career researchers.

The company also highlighted existing India usage signals: it said India is the fourth-largest adopter of AlphaFold globally, with more than 180,000 researchers currently using it. At the India Summit, Google.org additionally announced a $30 million Impact Challenge: AI for Science, open to researchers, nonprofits, and social enterprises, with selected organizations eligible for engineering and mentoring support.

Education, Language, and Energy Programs

For education, DeepMind described work with Atal Tinkering Labs, a network spanning more than 10,000 schools and 11 million students, to integrate GenAI assistants and teacher-support workflows. It also announced a partnership with PM Publishers to convert two million textbooks into interactive AI-powered learning experiences across more than 250 titles and 2,000 schools.

For language inclusion, DeepMind pointed to Google.org’s $2 million founding contribution to the Indic Language Technologies Research Hub at IIT Bombay, positioning this as infrastructure for integrating India’s linguistic diversity into future AI systems.

In energy, the company said it is integrating WeatherNext models with Open Climate Fix workflows in India’s grid operations. In test results cited by the post, wind-generation forecast performance improved by up to 8%. DeepMind linked this to India’s renewable expansion goals, including a 500 GW target by 2030.

Overall, the announcement is notable because it ties frontier-model access to delivery programs in research, schools, and energy operations, with specific institutional partners and budget commitments rather than a purely technical benchmark release.