The Generative AI Laboratory (GAIL) at the University of Edinburgh is a centre for excellence dedicated to researching all aspects of generative artificial intelligence (AI) in society. Uniting the diverse research expertise across the University with generative AI at its core, GAIL taps into a thriving AI landscape with recognised strengths in natural language processing, machine learning, and data-driven innovation. This interdisciplinary initiative focuses on advancing generative AI techniques in the key areas of future health and care, climate and sustainability, and economic growth, and 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. Latest news AI fails to make inroads with cybercriminalsDeepfake detection methods vulnerable to attackGAIL funds five new projects on AI’s impact and useShrinking AI memory boosts accuracy Upcoming event Join us for a fireside chat with Gary Marcus, scientist, best-selling author and entrepreneur, where we will explore the implications of the AI industry's reliance on scaling compute. Introducing the GAIL Fellows GAIL Fellows are researchers and academics from across the University of Edinburgh with a broad range of expertise in the area of Generative AI. Case study: Ethical and effective use of large language models Generative AI has made remarkable progress in recent years, prompting widespread discussion and application across various domains. Case study: Generative AI enabled financial decision-making Generative AI offers new ways to revolutionise data handling and decision-making in the global financial industry and new opportunities for UK’s finance related sectors. Case study: Generative AI in schools Advances in generative AI are transforming educational practices, presenting opportunities for innovative teaching and learning approaches to AI literacy among children. This article was published on 2024-10-10
