On April 27, 2026, Google DeepMind announced a new partnership with the Republic of Korea's Ministry of Science and ICT (MSIT). This collaboration, part of Google DeepMind's National Partnerships for AI initiative, aims to accelerate scientific breakthroughs, foster innovation, and cultivate local talent, building on Korea's leading position in AI innovation density and adoption.

The core methodology of this partnership involves several key pillars:

1. Establishment of an AI Campus in Seoul: Google will create an AI-focused facility within its Seoul offices, serving as a hub for Korean academia and research institutions, including Seoul National University (SNU), Korea Advanced Institute of Science and Technology (KAIST), and the Ministry’s three AI Bio Innovation Hubs. This campus will facilitate collaboration with Google’s AI experts.

2. Access to Advanced AI for Science Models: The partnership provides Korean researchers with access to and collaboration opportunities on Google DeepMind's frontier AI models, programs, and events, particularly in fields such as life sciences, energy, weather, and climate. Specific models and their applications include:
   • AlphaEvolve: A Gemini-powered coding agent designed for generating and optimizing advanced algorithms. Its application spans computing, mathematics, and emerging areas like drug discovery and energy, suggesting its utility in automating and enhancing the algorithmic design process.
   • AlphaGenome: An AI model focused on understanding the impact of mutations within human DNA sequences on various gene functions. This aims to accelerate research in genome biology and enhance disease understanding, implying sophisticated sequence analysis and predictive capabilities.
   • AlphaFold: Leveraging its established success in predicting protein structures, the collaboration will explore accelerating AI-enabled predictions for proteins, DNA, and RNA, extending its application to broader macromolecular structural biology. AlphaFold typically employs deep learning architectures to predict atomic coordinates or inter-residue relationships from sequence data.
   • AI co-scientist: A multi-agent AI system designed to act as a virtual scientific collaborator. It assists researchers in brainstorming and verifying hypotheses, particularly in biomedical applications. The partnership involves joint research exploration and technical advisory to integrate this system effectively with the Ministry’s AI Scientist Project, suggesting its role in augmenting research workflow and analytical capabilities.
   • WeatherNext: Collaboration will focus on supporting Korea's energy and sustainability goals by utilizing AI for predicting and analyzing the impacts of extreme weather events and optimizing renewable energy integration into grids. This suggests the application of advanced predictive modeling and optimization algorithms for complex environmental and energy systems.

3. Cultivating AI Talent: The initiative includes exploring internship opportunities for Korean students with Google DeepMind, complementing broader commitments like providing 50,000 AI Essentials scholarships to enhance foundational AI skills.

4. Partnering on Safety: Following the Frontier AI Safety Commitments made at the AI Seoul Summit, the partnership will involve collaboration with the Korean AI Safety Institute (AISI) on research and best practices concerning AI safety.

5. Integration with National Infrastructure: The partnership will also engage with the Republic of Korea's new National AI for Science Center (NAIS), which is set to open in May.

The overarching vision is to combine Google DeepMind's frontier AI capabilities with Korean scientific expertise to unlock significant scientific discoveries that benefit society for generations.