AI at The University of Manchester Institute for Data Science and AI The University of Manchester’s Data science has a home in all three of the University’s faculties (Science Institute for Data Science and and Engineering; Humanities; Biology, Artificial Intelligence (IDSAI) is the Medicine & Health Sciences). access point to the University’s Our expertise covers the complete data expertise in Data Science and science life-cycle: from information Artificial Intelligence, with over 800 management, through analytics, to practical applications. A key feature of affiliated researchers and academic our approach is very close coupling staff. between methodologists and translational scientists, drawing on strength-in-depth IDSAI facilitates interactions between in real-world applications of data science. researchers and problem holders, owns This creates a virtuous circle, where the University’s data science strategy, challenging real-world problems drive and delivers sustainable support for the methodology research agenda, whilst the community. Manchester has an providing a natural route to exploiting engaged data science community, with new algorithms and methods. methodologists embedded in Schools across the University addressing problems We believe this deeply multidisciplinary in extracting meaning from data, approach is one of the distinctive features managing data volume, the variety of data of data science at Manchester. used in analyses, the velocity with which it is produced and the veracity of those data. Find out more: idsai.manchester.ac.uk Institute for Data Science and AI Engagement IDSAI supports external engagement Digital Futures with the University’s research through IDSAI is a key theme within the University’s activities including internal and Digital Futures platform. Digital Futures external funding sandpits, seminar is a highly interdisciplinary network that series, annual international Advances operates across the whole range of the in Data Science conference and a data University’s digital research, which aims to science club. present a coherent overview of our digital research activity to external stakeholders and bring together our research communities to explore new research Hear more about IDSAI areas and address strategic opportunities. from Professor Magnus Rattray, Director of The Find out more: Insitute for Data Science Digitalfutures.manchester.ac.uk and AI at The University of Manchester. Hear more from some of our researchers Read more about the Sign up to the Digital Futures newsletter research that takes place at to join our community. Manchester Digital Futures @DigitalUoM Digitalfutures@manchester.ac.uk Follow the Institute for Data Science and AI @idsai_uom idsai.manchester.ac.uk idsai@manchester.ac.uk Digit al Fut u re s i s a h i g h l y i nte rd i s ci p l i n a r y n e t wo r k that ope rate s a c ro s s t he w ho l e ra n g e o f The Unive rs i t y o f M anc h e s te r ’s di gi t a l re s e a rch . M O R E T H AN 1 7 0 0 R ES E A R C H E R S ACR OSS 30 DISCIPLINES U NDER S TA N D I N G A N D D R I V I N G D I G I TA L T R AN S FORMAT ION EN GAGI NG W I TH C I TI Z E N S , B U S I N E S S AN D G OVERN MEN T PR O V I DI NG T HO U G HT L E A D E R S HI P, S H APIN G T HE FU T U RE w w w. digi t al f ut u re s.m an ches ter. a c. uk Digital Futures Digital Futures brings together over 1700 researchers from different disciplines across Societal Challenges all three of the University’s faculties into Societal Challenges focus multidisciplinary communities to tackle on real-world activities important research problems, build critical that are economically and mass in new and emerging research areas socially important and and to work with external stakeholders to have the potential to be support Greater Manchester’s ambitions as transformed by digital technology. a leading digital city. We bring our knowledge to bear on the great issues facing the world in the Cross-Cutting Capabilities 21st century, exploring the complex interplay between scientific, engineering, Cross-cutting Capabilities social, wealth creation, and quality of are digital frameworks, life concerns. We are able to combine technologies, and disciplines and capabilities to meet both methods that are the challenges of leading-edge research important areas of research in their own right and the external demands of government, and provide the underpinning structures business and communities. for addressing Societal and Institutional Digital Futures is built around challenges challenges. and cross-cutting capabilities. The matrix demonstrates the interactions between our Societal Challenges, Institutional Find out more: Challenges and Cross-cutting Capabilities. digitalfutures.manchester.ac.uk IDSAI Research Data science within the University Our Pankhurst Institute For health technology research and innovation Digital of Manchester Institute for Data and AI technologies theme explores the Science and AI has a home potential for digital and AI technologies in all three of the University’s to revolutionise health and care. Across faculties: Science and Engineering; the University we are addressing data- driven research in Health & Biology, Social Humanities; Biology, Medicine & & Policy, Environment, Urban, Business & Health Sciences. Management and the Physical Sciences. Foundational research on Data Science Analytics is focused through our Centre for Fundamentals in AI. Through our Centre for Robotics and AI our robotics and autonomous systems research has a distinctive profile developing, integrating and applying novel AI approaches in the design of robots and autonomous systems for real world Find out more: applications. IDSAI.manchester.ac.uk The Christabel Pankhurst Institute For health technology research and innovation In 2021, a consortium led by The University of Manchester launched the Christabel Pankhurst Institute for Health Technology Research and Innovation. This new “ Health and scientific innovation is needed now more than ever, so it is terrific news that we multimillion pound institute is building on can support the launch of Manchester’s academic strengths in digital The Christabel Pankhurst health and advanced materials to discover Institute in Greater Manchester. innovative health and care solutions. The launch will see The This institute is part of an ambitious plan University of Manchester set out in the Greater Manchester (GM) Local Industrial Strategy to boost the city- continue to be a pioneer in region’s provision in this area. digital health. It will come as a boost to the business sector by creating The initiative will build on investments employment from the University, Manchester opportunities, at the same Science Partnerships (MSP), the Engineering and Physical Sciences time as delivering further Research Council (EPSRC), and The Alan long-term health benefits to our city- ” Turing Institute, creating a total budget of region. more than £25m. Andy Burnham, The institute has recently moved into Mayor of Greater Manchester a flagship building at the centre of the University’s campus. This location and partnership will provide support for business growth by facilitating better collaboration between the NHS, researchers and industry through MSP, MFT, Health Innovation Manchester and the University. To find out more, visit pankhurst.manchester.ac.uk Turing Innovation Catalyst Manchester Transform the future, right now. AI is the world’s fastest growing deep digital tech sector. Its infinite possibilities are set to transform our collective future, but right now is the moment to write yours. Turing Innovation Catalyst Manchester empowers you to do just that. Set to launch in 2023, our focus will be on AI is the world’s fastest growing deep commercialising and accelerating AI, deep digital tech sector. Its infinite possibilities digital tech, and digital trust technologies. are set to transform our collective future, and right now you can get involved as part The Turing Innovation Catalyst of Turing Innovation Catalyst Manchester. Manchester is led by The University of Set to launch in 2023, our focus will be on Manchester, working with business, commercialising and accelerating AI, deep academic and public sector organisations. The project aims to accelerate Greater digital tech, and digital trust technologies. Manchester’s digital economy by • An ambitious programme of activity supporting existing start-ups and creating new ones, especially in the field of artificial • Human connections in a technology intelligence. It will also help to develop hub. skills in the region, with a particular focus • A serious boost for businesses on women and under-represented groups in the industry. • A diverse community. This will bridge the gap between cutting- • Establishing manchester’s place on edge research and business, and will have the AI map. centres across the region from which to coordinate activit. The project aims to position Greater Manchester at the forefront, which will have a transformative effect on the regional economy and jobs. Manchester Centre for AI Fundamentals The University of Manchester’s Centre for These Include; The Institute for Data AI Fundamentals is a key component of a Science and AI (IDSAI), The Christabel number of significant recent investments Pankhurst Institute and our partnerships The University of Manchester has made with The Alan Turing Institute and the into AI education, innovation and European Laboratory for Learning and industrial collaboration. Intelligent Systems (ELLIS). We boldly focus on fundamental The University has already recruited a AI research, which includes probabilistic number of key staff to the centre for AI modelling, deep learning, reinforcement Fundamentals, including learning, causal modelling, human-in-the- lecturers and researchers, and there are loop ML, explainable AI, ethics, privacy a number of further vacancies currently and security. being advertised. For further information on these, please use the QR This centre brings together renowned code below. academic expertise in AI with the latest research taking place across our To find out more about the growing institutes. Manchester Centre for AI Fundamentals, visit “ manchester.ac.uk/fun-ai We need new kinds of AI assistants which can learn to work well with humans and complement their skills. That requires new fundamental AI research, and Manchester has recog- nised this opportunity and is consid- erably strengthening its AI research. Manchester is a top-notch place to build and apply new AI which matters and has impact. ” Professor Samuel Kaski Robotics and AI Manchester’s centre dedicated to state-of-the-art AI technologies The centre maintains a portfolio of around 30 research projects with a value totalling over £35m, funded by EPSRC, InnovateUK, European Commission, RAEng and industry. With a distinctive focus on integrating robotics and AI research, and a breadth of application domains ranging from nuclear The University’s Centre for Robotics and robotics to trustworthy and verifiable AI pulls together experts and projects from autonomous systems to human-robot across the academic disciplines who share interaction for social and healthcare, the the challenge of working on the front line research we undertake puts our Centre at the of applied robotic technologies. forefront of UK and international investment priority areas. For example, Manchester researchers Key Research Themes Include: are looking to develop robotic systems that are able to explore in the most • Platform design, mechatronics and extreme environments, such as those control found in the nuclear industry, power • Verification, security and trust generation or agriculture. Other expertise includes designing robots to support • Human-robot interaction and cognitive robotics digital manufacture or work in the field of “ medicine and health. • AI, machine learning and data Robotics is now an important field that • Ethics and society can be found in research areas across To find out more, visit: the University’s academic portfolio – robotics.manchester.ac.uk which is not surprising, as robotic and autonomous systems are being applied in all parts of our lives. With the launch of this Manchester centre of excellence in robotics and AI we are providing a new focus to our multidisciplinary, world-class work in ” this field. Professor Richard Curry European Laboratory for Learning and Intelligent Systems “ The European Laboratory for Learning and Intelligent Systems The University of Manchester (ELLIS) has added The University of continues to grow as a centre of Manchester as a partner of its global excellence for AI research and the new members who strive towards a meaningful ELLIS unit will further strengthen this contribution to securing Europe’s activity. Through the new ELLIS unit sovereignty and leadership in the research Manchester will be able to better link field of modern machine learning researchers across ” artificial intelligence (AI). Europe with impactful applications Four new international units have been across many disciplines. announced including; Professor Magnus Rattray Manchester, Jena and Stuttgart in Germany and Milan in Italy. The new units join a network of world-class institutions with experts in the application of AI across 14 European in other fields, with particular strengths countries and Israel. in health, and will connect with other leading experts in the ELLIS network The University of Manchester has recently across Europe. strengthened its position as a centre for research into AI The University of Manchester has fundamentals and impactful established a strategic partnership in a applications of AI to improve health, shared professorship with the security and sustainability. Last year the director of the ELLIS unit Helsinki, Samuel University appointed Kaski from Aalto University, Finland. This AI Chairs in each of its faculties Northern link will be used in the future followed by several excellent machine to set up the ELLIS units in Manchester learning faculty appointments in the and Helsinki as a twin unit, with tight department of Computer Science. collaboration already under way through research collaboration and exchange. The University of Manchester has been a Find out more: idsai.manchester.ac.uk/connect/ partner of the Alan Turing Institute since partnerships/ellis 2018 and is home to 33 Turing Fellows. It has a thriving community of data science and AI researchers, with over 900 researchers affiliated to its Institute for Data Science and AI (IDSAI). Manchester’s ELLIS unit brings together experts in AI fundamentals 13 To hear about events and opportunities in Data Science and AI, use the QR code to access our newsletter sign-up page. You can also follow us on Twitter at @DigitalUoM Natural language Processing and Text Mining The National Centre for Text Mining NaCTeM’s academic and industrial (NaCTeM), based in the Department research projects range over many of Computer Science in the School of domains from biology and biomedicine Engineering at the University of to biodiversity, toxicology, neuroscience, Manchester, is the first publicly- materials, history, social sciences, funded text mining centre in the world. insurance, and health and safety in the construction industry, with funding It was established to provide support, coming from EPSRC, ESRC, MRC, AHRC, advice, and information on text mining Wellcome Trust, NIH, Pacific Life Re, Lloyd’s (TM) technologies and to disseminate Register Foundation, AstraZeneca, DARPA, information from the larger TM EC Horizon 2020, JST and the cosmetics community, whilst also providing tailored and extracts industry, among others. services and tools in response to the requirements of the academic community. Applications arising from such research include Thalia, a semantic search engine over more than 20m biomedical abstracts; Facta+, to find unsuspected associations in the biomedical literature; HoM, allowing semantic search of historical medical and public health archives; and RobotAnalyst, supporting the hitherto laborious screening stage NaCTeM researchers have excelled of systematic reviewing through active in community shared tasks and learning techniques. challenges, notably in BioCreAtIvE III, IV and V, in BioNLP 2011 and 2013 (for the NaCTeM also collaborates closely with most complex task of event extraction) the Artificial Intelligence Research Center, and most recently obtained two first National Institute of Advanced Industrial places in tasks of the 5th CL-SciSumm Science and Technology, Japan. Shared Task 2019. Find out more: Moreover, NaCTeM’s participation nactem.ac.uk in DARPA’s $45m Big Cancer Mechanism initiative, in a consortium led by the University of Chicago, saw it produce in 2015 the top performing system for extracting information to support cancer pathway modelling. The Alan Turing Institute The UK’s national institute for Data Science and AI The Alan Turing Institute was created as the national institute for data science in 2015, adding artificial The institute has three ambitious goals: intelligence to their remit in 2017. The • Advance world-class research institute is a collaborative hub, with roots • Train the leaders of the future in universities and centres of research excellence across the UK, and strong links • Lead the public conversation to a growing network of industry, public sector, and third sector partners. Being a national institute enables the institute to deliver benefits that a Since 2018 there have been thirteen single university could not deliver alone. University partners: Birmingham, Breaking down disciplinary boundaries, Bristol, Cambridge, Edinburgh, Exeter, computer scientists, engineers, Leeds, Manchester, Newcastle, Oxford, statisticians, mathematicians, and Queen Mary University of London, scientists work together under one shared Southampton, UCL and Warwick. goal. The Alan Turing Institute also Crucially, the Turing Institute is a collaborates with businesses and public convening power, bringing together the and third sector organisations to apply best talent in the data science and AI this research to real-world problems, with community to speak to industry, policy- lasting effects for science, the economy, makers, and the public. and the world we live in. In October 2021, The University of Our researchers collaborate across Manchester announced 33 disciplines to generate impact, both Manchester-based Turing Fellows across through theoretical development and all three of our Faculties. application to real-world problems. They are fuelled by the desire to Find out more: turing.ac.uk or use the QR innovate and add value. code to find out more about Alan Turing Alan Turing’s Legacy Turing’s name is synonymous with Data Science and Artificial Intelligence at The University of Manchester, from his work here in the 1940s and 50s to our current partnership with the Alan Turing Institute. Alan Turing joined The University of Manchester in 1948, as Reader in the Mathematics department. In 1949, he took up the post of Deputy Director of the Computing Laboratory. This coincided with Manchester’s work to develop the world’s first modern The University’s Alan Turing Building computer: the ‘Manchester Baby’. and the Ferranti Mark 1, the world’s first In 1950 Turing published a seminal paper commercially-available digital computer, entitled ‘Computing Machinery and designed at The University of Manchester Intelligence’, in which he first by Freddie Williams and Tom Kilburn. addressed the issue of what was to be labelled artificial intelligence (AI). Turing, Kilburn and Williams all now have “ Manchester buildings bearing their name. In his paper, Turing developed a method to determine whether a machine can be recognised as Turing’s pioneering work in mathematics, ‘intelligent’ by demonstrating human- computing and artificial intelligence helped to like thinking - this challenge was called the distinguish and enhance our reputation in these ‘Imitation Game’, and is now known as the academic areas, something that continues to ‘Turing Test’. this day. Computing Machinery and Here at The University of Intelligence would have a significant Manchester, Turing’s legacy lives on as future influence on AI, a research area that generations of mathematicians and physicists continues exponentially today and where study in a building that bears his name. This Manchester is still a global centre of latest recognition is richly deserved and a fitting excellence. tribute to one of the greatest scientists of the ” 20th Century. Turing contributed to the development of the Manchester Mark 1 Professor Dame Nancy Rothwell Digital Futures @DigitalUoM Digitalfutures@manchester.ac.uk Follow the Institute for Data Science and AI @idsai_uom idsai.manchester.ac.uk idsai@manchester.ac.uk
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