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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: 2009 | 2008 | 2006
Number of items: 3.

2009

Avionitis, N. and Chalmers, S. and McDougall, C. and Stanton-Humphreys, M.N. and Brown, C.T.A. and McCarron, J.G. and Conway, S.J. (2009) Caged AG10: new tools for spatially predefined mitochondrial uncoupling. Molecular BioSystems, 5. pp. 450-457. ISSN 1742-206X

2008

Yu, L. and Watterson, S. and Marshall, S. and Ghazal, P. (2008) Inferring Boolean networks with perturbation from sparse gene expression data : a general model applied to the interferon regulatory network. Molecular BioSystems, 4 (10). pp. 1024-1030. ISSN 1742-206X

2006

Yue, Hong and Brown, Martin and Knowles, Joshua and Wang, Hong and Broomhead, David S. and Kell, Douglas B. (2006) Insights into the behaviour of systems biology models from dynamic sensitivity and identifiability analysis: a case study of an NF-kB signaling pathway. Molecular BioSystems, 2 (12). pp. 640-649. ISSN 1742-206X

This list was generated on Sun Aug 9 09:24:23 2020 BST.