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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: 2020 | 2016 | 2012
Number of items: 3.

2020

Montes, Melania and MacKenzie, Lewis and McAllister, Milly J. and Roseweir, Antonia and McCall, Pamela and Hatziieremia, Sophia and Underwood, Mark A. and Boyd, Marie and Paul, Andrew and Plevin, Robin and MacKay, Simon P. and Edwards, Joanne (2020) Determining the prognostic significance of IKKα in prostate cancer. Prostate. ISSN 1097-0045

2016

Aßmuth, Andreas and Cockshott, Paul and Kipke, Jana and Renaud, Karen and Mackenzie, Lewis and Vanderbauwhede, Wim and Söllner, Matthias and Fischer, Tilo and Weir, George; (2016) Improving resilience by deploying permuted code onto physically unclonable unique processors. In: 2016 Cybersecurity and Cyberforensics Conference (CCC). IEEE, JOR, pp. 144-150. ISBN 9781509026579

2012

MacKenzie, Lewis and McCall, Pamela and Hatziieremia, Sophia and Catlow, Jamie and Adams, Claire and McArdle, Peter and Seywright, Morag and Tanahill, Claire and Paul, Andrew and Underwood, Mark and Mackay, Simon and Plevin, Robin and Edwards, Joanne (2012) Nuclear factor κB predicts poor outcome in patients with hormone-naive prostate cancer with high nuclear androgen receptor. Human pathology, 43 (9). pp. 1491-500. ISSN 1532-8392

This list was generated on Sat Aug 8 16:54:57 2020 BST.