UKRI Enabling AI adoption across science and engineering supports AI specialists and domain researchers in exploratory collaborations to transform research in five priority science and engineering areas.
Transformative sustainable AI technologies supports researchers developing high-risk hardware, software and computational approaches to make future AI more efficient, reliable and environmentally sustainable.
U.S.-UK Center-to-Centre Collaboration Opportunities for Artificial Intelligence and Quantum Information Science and Technology supports U.S. and UK centers' joint AI and quantum research to advance shared priorities.
AI for Science program supports researchers with API access for AI-enabled scientific work, emphasizing biology and life sciences to accelerate discovery and contribute to positive real-world impact.
Engineering Biology Collaborative R&D: Round 3 supports business-led partnerships developing and scaling engineering biology products, processes and services to reduce adoption risks and drive UK growth.
Advancing Research at the intersection of Biology and Artificial Intelligence/Machine Learning (AI/ML) supports researchers using AI/ML for biological discovery and biology-informed methods to advance both fields.