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Powering innovation in artificial intelligence with Open Access research...

Artificial intelligence (AI) and machine learning (ML) together represent a research frontier with a wide variety of discipline specific applications. At Strathclyde researchers in Computer & Information Sciences are exploring improved AI planning models to enable improved decision making by automous agents. Meanwhile, research conducted by the Aerospace Centre of Excellence is using AI and computational techniques to optimize the efficacy of certain astronautic applications. This includes 'global trajectory optimization' to aircraft and spacecraft design, from the planning and scheduling for autonomous vehicles to the synthesis of robust controllers for airplanes or satellites.

AI is also transforming the research agenda within Finance, where researchers are exploring the potential of AI and machine learning in evaluating banking risks and in new, emerging aspects of FinTech.

Explore some of this Open Access research from Computer & Information Sciences, Aerospace Centre of Excellence and Finance. Or explore all of Strathclyde's Open Access research...

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Jump to: 2013 | 2005
Number of items: 3.

2013

Coghill, D.R. and Hayward, D and Rhodes, Sinead and Grimmer, C. and Matthews, K. (2013) A longitudinal examination of neuropsychological and clinical functioning in boys with attention deficit hyperactivity disorder (ADHD) : improvements in executive functioning do not explain clinical improvement. Psychological Medicine, n/a (n/a). n/a. ISSN 0033-2917

2005

Murray, V. and McKee, I. and Miller, P.M. and Young, D. and Muir, W.J. and Pelosi, A.J. and Blackwood, D.H.R. (2005) Dimensions and classes of psychosis in a population cohort : a four class, four dimension model of schizophrenia and affective psychoses. Psychological Medicine, 35 (4). pp. 499-510. ISSN 0033-2917

Rhodes, Sinéad M. and Coghill, David, R and Matthews, Keith (2005) Neuropsychological functioning in stimulant-naive boys with hyperkinetic disorder. Psychological Medicine, 35 (8). pp. 1109-1120. ISSN 0033-2917

This list was generated on Wed Aug 5 09:39:17 2020 BST.