The recently signed Memorandum of Understanding enables FCAI to take concrete steps towards shared research and translation projects with The Alan Turing Institute. The collaboration centres around the Turing’s data-centric engineering programme, a major research programme funded by the Lloyd’s Register Foundation, and will include the development of AI methods to improve the diagnosis of Diabetic Retinopathy. The project is establishing one of the largest data collections of retinal images and optical coherence tomography (OCT) scans in the world. Diabetic retinopathy is a complication of diabetes caused by high blood sugar levels damaging the back of the eye (retina), which can cause blindness if left undiagnosed and untreated.
Adrian Smith, Institute Director, The Alan Turing Institute, said: “This is a significant international collaboration and I am delighted the Turing is now formally linked to one of the most dynamic research institutions in Europe. Together, we share a common goal of shaping the world we live in for the better and this collaboration will enable us to combine world-class expertise and apply data science and AI approaches to tackle real world problems.”
Prof M. A. Girolami the Turing’s Director of Data Centric Engineering programme (and Sir Kirby Laing Professor of Civil Engineering at the University of Cambridge and the Lloyds Register Foundation-Royal Academy of Engineering Research Chair in Data Centric Engineering) has been appointed as Adjunct Professor of Machine Learning at Aalto University, which will help develop the partnership.
In addition, Professor Kimmo Kaski (former Academy Professor and Dean of the School of Science at Aalto University) is a Turing Rutherford Fellow and will continue to work as the Turing-FCAI Liaison Director. Professor Kimmo Kaski said: “I am excited about this strategic partnership between FCAI and The Alan Turing Institute – the world’s foremost data science and AI research set-up, as it gives us the opportunity to jointly further Turing’s unique and world-changing legacy in finding solutions to challenging problems around us by applying data science and AI to the most valuable resource, data, for common good and better services to us all.”
A number of other projects are currently being developed between FCAI and the Turing. Professor Samuel Kaski, director of FCAI said “We are looking forward to continuing the already existing collaboration with a number of Turing partners, and working on the new initiatives we identified based on our complementary strengths.”