Partnerships

Collaboration is key. Working with global partners, we are fast tracking AI solutions to transform businesses and lives.

With partners, we drive innovation by applying our expertise and research to real world situations, harnessing and unlocking AI in academia, government, industry and the public sector. Several partnerships are already delivering AI-driven breakthroughs.

Want to partner with us?

Find out how you can work with us through Edinburgh Innovations, our commercialisation service.

Professor Baljean Dhillon holds up an eye model

NEURii

NEURii is utilising AI and machine learning to deliver patient-focused, digital health solutions for dementia. The collaborative partnership involves global pharmaceutical company Eisai, technology giant Bill Gates’ private office Gates Ventures, and medical research no-for-profit LifeArc. Two NEURii projects are underway. Scottish AI in Neuroimaging to predict Dementia and Neurodegenerative Disease (SCAN-DAN) and NeurEYE have respectively collected data from brain scans and almost one million eye scans from across Scotland to develop software tools to predict a person’s risk of dementia. 

Close-up of a medical showing fatty liver disease, liver, health, medical, disease,close-up,treatment, diagnosis. AI generated.

SteatoSITE

SteatoSITE is the world’s first data commons for research into MASLD, one of the most common types of chronic liver disease. The pioneering project integrates digital pathology, hepatic RNA-sequencing and 5.67 million days of electronic health records from 940 patients. It advances medics’ ability to group patients to better treat them, discover biomarkers and develop drugs. Crucially, it is fostering collaborations in the NHS AI adoption and digital pathology to create AI-driven tools for immediate use.

The Centre for Purpose-Driven Innovation in Banking

The University’s partnership with NatWest Group is based on challenge-led research and innovation that will improve how data is used to benefit bank customers, students, researchers and policy makers. Projects already delivered include Healthy Habits which explored correlations between health and spending data, and Quantum Technologies for Machine Learning, which aimed to narrow the gap between academic research and business applications. 

The Centre for Investing Innovation

The partnership between the University and aberdeen group, is addressing challenges facing the investment and asset management sector across three main areas: sustainability, thematic investing and innovating investing.  A recent project is harnessing generative AI to create a research companion and support the firm’s investment research process. The Centre is hosted by the Edinburgh Futures Institute and has been co-developed with the School of Mathematics and the School of Informatics. 

A detailed depiction of a microchip at the center, surrounded by vibrant, glowing data streams that highlight advancements in technology and computing

APRIL

The AI Hub for Productive Research and Innovation in Electronics will develop AI tools to accelerate the development of key components such as new semiconductor materials, complex microchip designs and system architectures, leading to faster, cheaper, greener and overall more power-efficient electronics. 

person holding a computer generated globe in their hand

CHAI

The Causality in Healthcare AI Hub aims to develop AI that can empower decision-making tools to improve challenging tasks such as the early prediction, diagnosis and prevention of disease, and to improve the safety of such technology in healthcare. 

A snowy landscape with icy cliffs and towering mountains. Several explorers are shown climbing and navigating the snowy terrain, some using ropes to bridge gaps. Below the cliffs, a grid of blue electric circuits and transmission towers dot the mountains, blending the natural and technological elements of the scene. The sky is a vividly toxic green, with a orange sun glowing in the background.

Bridging Responsible AI Divides (BRAID)

BRAID is a new programme designed to drive responsible innovation in AI by fully integrating arts and humanities research. The Arts and Humanities Research Council funded programme is led by the University (with support from Edinburgh Innovations) in partnership with the BBC and the Ada Lovelace Institute. As well as integrated arts and humanities research more fully into the Responsible AI ecosystem, the six year programme is dedicated to bridging divides between academic, industry, policy and regulatory work on responsible AI. 

 

Image credit: APRIL: Vic - stock.adobe.com; BRAID: Hanna Barakat  & Archival Images of AI + AIxDESIGN / Better Images of AI / Data Mining 3 / CC-BY 4.0; NEURii: Andrew Perry; Omecu: NicoEINino - stock.adobe.com; SteatoSITE: lapeepon - stock.adobe.com

This article was published on