Data Science

With the extensive energy research conducted by over 200 academics at the University of Edinburgh, we can address issues across the entire energy system—generation, transmission, distribution, usage, and integration—from a multidisciplinary perspective.

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Dictum inceptos pellentesque, mattis nisl massa purus. Accumsan elementum dictum orci, gravida nibh platea aptent phasellus. Platea quis ligula quisque, convallis cursus aliquam aliquet posuere. Scelerisque fringilla lobortis nulla, dolor vivamus quisque, vehicula ligula aptent aenean est ac ipsum auctor. Laoreet tellus ornare ultricies, augue donec potenti, molestie malesuada libero ante aliquam cursus inceptos blandit.

Dictum inceptos pellentesque, mattis nisl massa purus. Accumsan elementum dictum orci, gravida nibh platea aptent phasellus. Platea quis ligula quisque, convallis cursus aliquam aliquet posuere. Scelerisque fringilla lobortis nulla, dolor vivamus quisque, vehicula ligula aptent aenean est ac ipsum auctor. Laoreet tellus ornare ultricies, augue donec potenti, molestie malesuada libero ante aliquam cursus inceptos blandit.
Dictum inceptos pellentesque, mattis nisl massa purus. Accumsan elementum dictum orci, gravida nibh platea aptent phasellus. Platea quis ligula quisque, convallis cursus aliquam aliquet posuere. Scelerisque fringilla lobortis nulla, dolor vivamus quisque, vehicula ligula aptent aenean est ac ipsum auctor. Laoreet tellus ornare ultricies, augue donec potenti, molestie malesuada libero ante aliquam cursus inceptos blandit.

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News Partnership

Building the future of quantum

Last week, the Quantum Software Lab at the University of Edinburgh hosted Quantum Week Scotland 2024, a first-of-its-kind five-day programme of events designed to bring industry and academia together and showcase latest developments in the field.

AI and Data Data Science
News

Business risks of ChatGPT

Dr Gina Helfrich, Baillie Gifford Programme Manager for the Centre for Technomoral Futures at Edinburgh Futures Institute, explains why large language models should be handled with care

AI and Data Data Science
News

Supercomputer sustainability: a balance between performance and energy efficiency

When we think about industry sectors thatneed to take greater steps to reduce their environmental impact, computing is perhaps not the first that springs to mind. However, Professor Portelli’s study shows potential for cutting-edge new technologies from supercomputing to produce more energy-efficient software design that reduces the environmental impact of the global computing sector.

Data Science Energy Sustainability