About GAIL

The Generative AI Laboratory (GAIL) unites the diverse research expertise across the University with Generative Artificial Intelligence (AI) at its core - a powerful form of machine learning capable of producing a variety of output including text, images, video, audio, computer code, and even predicting biological behaviours. 

Building on the University of Edinburgh's 60-year legacy in AI and computer science research, GAIL taps into a thriving AI landscape with recognised strengths in natural language processing, machine learning, and data-driven innovation. 

GAIL’s work is underpinned by access to rich datasets – from healthcare to financial data – and cutting-edge computing infrastructure in the Edinburgh International Data Facility (EIDF). 

The EIDF is a multimillion-pound investment that houses high-performance data storage and a large AI facility, including two Cerebras CS-2 systems dedicated to largescale AI using the world’s largest silicon chip. 

As an interdisciplinary initiative, GAIL focuses on advancing generative AI techniques to drive discoveries in the key areas of future health and care, climate and sustainability, and economic growth. 

By bringing together leading experts from academia, industry, and policy to unlock new technologies, GAIL works with colleagues in the Centre for Technomoral Futures to explore ethical and legal considerations, and shapes global regulations, while transforming how we use AI.

GAIL is committed to innovating in Generative AI through partnerships with global stakeholders, driving new collaborations and dynamic projects across government, industry, and the public sector.