
ASI Data Science (Adv Skills Initiative)
ASI Data Science (Adv Skills Initiative)
2 Projects, page 1 of 1
assignment_turned_in Project2019 - 2027Partners:Albion Capital, Adobe Systems (United States), VODAFONE, Capital Enterprise LLP, DeepMind +13 partnersAlbion Capital,Adobe Systems (United States),VODAFONE,Capital Enterprise LLP,DeepMind,Digital Surgery,BenevolentAI,ASI Data Science (Adv Skills Initiative),Dynium Robot,Cisco Systems (United Kingdom),MICROSOFT RESEARCH LIMITED,Julia Computing,nVIDIA,UCL,Huawei Technologies (UK) Co. Ltd,SCM Advisors,Connected Digital Economy Catapult,EntrepreneurFirstFunder: UK Research and Innovation Project Code: EP/S021566/1Funder Contribution: 6,483,360 GBPThe UK has had remarkable success in producing new algorithms in Artificial Intelligence. This has driven two processes -- one is the adoption of existing large-scale data analysis tools to industry problems. The other is the acquisition by large tech companies of UK talent, with the intention that it will significantly shape the future commercial landscape. Whilst there has been dramatic recent progress in AI, the systems are still far from being universally useful. The tech giants are well aware of this and are investing heavily in teams and algorithms that can address these fundamental AI challenges. It is vital that the UK retains the ability to create new AI technologies and does not become merely a consumer and user of AI technologies produced by others. This training centre will spearhead this effort by addressing the core research problems and training students to become the next generation scientists and entrepreneurs.
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For further information contact us at helpdesk@openaire.euassignment_turned_in Project2019 - 2027Partners:FFEI LIMITED, Advanced Digital Innovation, FDA , HeteroGenius Limited, ASI Data Science (Adv Skills Initiative) +16 partnersFFEI LIMITED,Advanced Digital Innovation,FDA ,HeteroGenius Limited,ASI Data Science (Adv Skills Initiative),MICROSOFT RESEARCH LIMITED,NHS England,Leeds Teaching Hospitals NHS Trust,Leeds City Council,St Gemma's Hospice,Maudsley Simulation,IMC Business Architecture,EPFL,One Medical Group,X-Lab Limited,Sectra,Health Education England,TPP,Aristotle University of Thessaloniki,University of Leeds,mHabitatFunder: UK Research and Innovation Project Code: EP/S024336/1Funder Contribution: 5,981,090 GBPArtificial Intelligence (AI) has advanced rapidly over the last five years, largely as a result of new algorithms, affordable hardware, and huge increases in the availability of data in digital form. The UK has recognised as a national priority the urgent need to exploit AI in human health, where digital data is being created from many sources, for example: images from tissue slices, X-ray devices, and ultrasound; along with laboratory tests, genetic profiles, and the health records used by GPs and hospitals. The potential is enormous. In future, AI could automatically identify those at risk of cancer before symptoms appear, suggesting changes in lifestyle that would reduce long-term risk. It could greatly speed-up and increase the reliability of diagnostic services such as pathology and radiology. It could help doctors and patients select the most appropriate care pathway based on personal history and clinical need. Such improvements will lead to better care and more cost-effective use of resources in the NHS. Our Centre for Doctoral Training will train the future researchers who will lead on this transformation. They will come from a variety of backgrounds in science, engineering and health disciplines. When they graduate from the Centre after four years, they will have the AI knowledge and skills, coupled with real-world experience in the health sector, to unlock the immense potential of AI within the health domain. Our scope is on AI for medical diagnosis and care with a focus on cancer for which there are particularly rich sources of digital data, and where AI is expected to lead to significant breakthroughs. Leading with cancer, we will inform the use of AI in medical diagnosis and care more widely. The Centre will be based in the City of Leeds, which has developed into the home of the NHS in England. The University of Leeds and the Leeds Teaching Hospitals Trust (LTHT), working with key national partners from the NHS and industry, provides the ideal environment for this Centre. There is internationally excellent research on AI and on cancer, including a world leading centre for digital pathology. There is already strong collaboration between the different organisations involved. The Centre builds on a well-established track record in transferring research ideas into world-leading clinical practice and new products. Our graduates will become international leaders in academia and industry, ensuring the UK remains at the forefront in health research, clinical practice and commercial innovation.
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