Research Subject Area: Artificial Intelligence and Image Processing

REF impact found 380 Case Studies

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Academic, educational and commercial benefits of effective textual search and annotation

Summary of the impact

Based in the School of English, the Research and Development Unit for English Studies (RDUES) conducts research in the field of corpus linguistics and develops innovative software tools to allow a wide range of external audiences to locate, annotate and use electronic data more effectively. This case study details work carried out by the RDUES team (Matt Gee, Andrew Kehoe, Antoinette Renouf) in building large-scale corpora of web texts, from which examples of language use have been extracted, analysed, and presented in a form suitable for teaching and research across and beyond HE, including collaboration with commercial partners.

Submitting Institution

Birmingham City University

Unit of Assessment

English Language and Literature

Summary Impact Type

Cultural

Research Subject Area(s)

Information and Computing Sciences: Artificial Intelligence and Image Processing
Psychology and Cognitive Sciences: Cognitive Sciences
Language, Communication and Culture: Linguistics

Accelerating structural biology with Phaser crystallographic software-Read

Summary of the impact

Knowledge of the three-dimensional structures of macromolecules is a prerequisite for understanding their function at the atomic level, an essential component of modern drug development. Most structures are determined by X-ray crystallography: the majority using molecular replacement (MR, which exploits known structures of related proteins), and about half of the remainder using single-wavelength anomalous diffraction (SAD). The Phaser crystallographic software, developed by Read and colleagues, implements powerful new likelihood-based methods for MR and SAD phasing and has made a large impact, accelerating over the period 2008-2013. At the pharma giant, AstraZeneca, Phaser is considered the "tool of choice" for solving structures by MR.

Submitting Institution

University of Cambridge

Unit of Assessment

Clinical Medicine

Summary Impact Type

Technological

Research Subject Area(s)

Mathematical Sciences: Statistics
Information and Computing Sciences: Artificial Intelligence and Image Processing
Technology: Computer Hardware

Achieving Economic and Cultural Impact through Digital Humanities: The Effect of Multi-spectral Imaging

Summary of the impact

Research in Multi-spectral Imaging (MSI) of manuscripts by researchers in the University of Oxford's Faculty of Classics has led to advances in imaging technology. A series of initiatives by Dr Dirk Obbink that captured images through MSI technology have led to the decipherment of new texts that have made a substantial mark in the public sector. Equity spinout of this technology has resulted in the entry in the market of the first portable multispectral scanning unit in flat-bed desktop format. The scanner, which uses innovative patented LED technology at different levels of the light spectrum, was developed under funding from ISIS, Oxford University's technology transfer division.

Submitting Institution

University of Oxford

Unit of Assessment

Classics

Summary Impact Type

Technological

Research Subject Area(s)

Information and Computing Sciences: Artificial Intelligence and Image Processing, Data Format

Acrobot: Active Constraint Robots Improve Outcome in Arthritis Surgery

Summary of the impact

Collaboration between Imperial College Departments of Mechanical Engineering and Surgery led to the development of active constraint robot solutions which augment surgeon skills so that joint replacement components are implanted accurately and successfully. This led to the founding of Acrobot to develop innovative surgical technologies. Acrobot was acquired by Stanmore Implants Worldwide in 2010. An orthopaedic stereotaxic instrument, based on Imperial research, obtained US Food and Drug Administration (FDA) clearance in 2013. This has led to Mako-Surgical purchasing Stanmore Implants Acrobot technology in April 2013.

Submitting Institution

Imperial College London

Unit of Assessment

Clinical Medicine

Summary Impact Type

Technological

Research Subject Area(s)

Information and Computing Sciences: Artificial Intelligence and Image Processing
Medical and Health Sciences: Clinical Sciences, Neurosciences

Active Shape and Appearance Models

Summary of the impact

Our research on Active Shape Models (ASMs) and Active Appearance Models (AAMs) opened up a radically new approach to automated image interpretation, with applications in industrial inspection, medical image analysis, and face tracking/recognition. We identify:

  • direct economic impacts of at least $20m pa, with much larger indirect impacts;
  • healthcare impacts in non-invasive cardiac monitoring, accurate detection of growth deficit, and more efficient drug trials; and
  • cultural impacts in cinema and computer games.

Submitting Institution

University of Manchester

Unit of Assessment

Computer Science and Informatics

Summary Impact Type

Technological

Research Subject Area(s)

Information and Computing Sciences: Artificial Intelligence and Image Processing

Actual Analytics Ltd: automated processing of video data to reduce the use of laboratory animals in scientific research

Summary of the impact

Series of images from animal behaviour studies contain vast quantities of complex and highly valuable data. Extracting the value from this scientific data often requires expert annotation. This is frequently an intuitive process based on experience gained through years of training to make important decisions. Experts are rare, expensive and hard to train so the iBehave project at the University of Edinburgh (2006-2009) sought to reverse this model and deliver systems that learned to mimic expert annotation of video data. This effort resulted in a new spinout from the School of Informatics, a software company called Actual Analytics Ltd (Actual). Founded in 2010, Actual delivers innovative software solutions for behaviour analytics which use machine learning algorithms to process video data of laboratory animals to improve the accuracy of the experimental process and reduce the need to use animals in scientific research.

Submitting Institution

University of Edinburgh

Unit of Assessment

Computer Science and Informatics

Summary Impact Type

Technological

Research Subject Area(s)

Biological Sciences: Genetics
Information and Computing Sciences: Artificial Intelligence and Image Processing

Adaptive AR and Digital Art

Summary of the impact

Augmented reality (AR) and physiological computing (PC) represent computing paradigms for wearable technology. Both forms may be combined to deliver Adaptive AR (A2R) where changes in psychophysiology are used to adapt digital artifacts in real-time. A number of art exhibits were created that represented A2R and were presented to the public as part of the Turning FACT Inside Out show in Liverpool. The impact of this research is evidenced by: (a) engaging the public with emerging technology, (b) influencing the strategy of an arts organisation, and (c) informing the practice of artists.

Submitting Institution

Liverpool John Moores University

Unit of Assessment

Psychology, Psychiatry and Neuroscience

Summary Impact Type

Technological

Research Subject Area(s)

Information and Computing Sciences: Artificial Intelligence and Image Processing, Information Systems
Studies In Creative Arts and Writing: Film, Television and Digital Media

Adoption of new engineering solutions to reduce the patient experience of intense acoustic noise during Magnetic Resonance Imaging (MRI)

Summary of the impact

Reduction of unpleasant ambient noise during MRI has been enabled through innovative engineering solutions developed at the Medical Research Council Institute of Hearing Research (MRC IHR). Intellectual property was licensed to Optoacoustics Ltd and the resulting OptoActive™ active noise-cancelling headphones for MRI are the only one of their type commercially available, enabling free conversation between patients and clinicians. The product was formally launched in September 2012 and has worldwide sales including in the USA, Europe, Asia and the Middle East.

Submitting Institution

University of Nottingham

Unit of Assessment

Psychology, Psychiatry and Neuroscience

Summary Impact Type

Technological

Research Subject Area(s)

Physical Sciences: Other Physical Sciences
Information and Computing Sciences: Artificial Intelligence and Image Processing
Medical and Health Sciences: Neurosciences

Agility Strategies and Supply Network Optimisation

Summary of the impact

Professor David Zhang's research into agility strategies and the analysis and optimisation of complex supply chain networks in the manufacturing sector has led to significant economic impact. Reductions have been made in inventory and cost of goods sold, amounting to an estimated £80M per annum for CIFUNSA, one of the world's largest engine block and head manufacturers. The entire senior management team has been trained in agility strategies and techniques at China's largest non-ferrous metals research and industry complex GRINM, leading to major corporate-level restructuring and growth. The senior management of solder-specialist COMPO has also been trained based on Zhang's research to help the company quadruple turnover in four years and become global market leader. Finally, these same strategy and analysis techniques have generated cost savings and performance improvements worth an estimated £375k for UK engineering solutions company J+S Ltd (http://www.jands.co.uk).

Submitting Institution

University of Exeter

Unit of Assessment

General Engineering

Summary Impact Type

Economic

Research Subject Area(s)

Mathematical Sciences: Applied Mathematics
Information and Computing Sciences: Artificial Intelligence and Image Processing, Computation Theory and Mathematics

Ambient, context-aware and mobile applications – AmbieSense

Summary of the impact

The primary impact is AmbieSense Ltd., a start-up that has had up to 8 employees/consultants. The Company pioneered ambient, context-aware mobile applications and has been able to maintain its technological edge throughout. Secondary impact is through products developed and used by companies including Lonely Planet, Oslo Airport. AmbieSense Ltd. products and services have wide reach and social impact: Tourist trails; outdoor museums; educational historic trails. Customers include public sector: Aberdeen City Council. Benefits are a quality content experience delivered in a context-sensitive manner (social/economic). The significance is: information-rich touristic physical space; an enriching educational experience, connecting pupils with environments. Other technologies have also been built on the AmbieSense platform and patents have cited the underpinning work, demonstrating impact on professional services.

Submitting Institution

Robert Gordon University

Unit of Assessment

Computer Science and Informatics

Summary Impact Type

Technological

Research Subject Area(s)

Information and Computing Sciences: Artificial Intelligence and Image Processing, Data Format, Information Systems

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