Picture of cyber-style head against binary code

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...

Browse by Journal or other publication

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Group by: Publication Date | Item type | No Grouping
Jump to: 2011 | 2010 | 2008
Number of items: 3.

2011

Klein, Markus (2011) Higher education and non-pecuniary returns in Germany : tracing the mechanisms behind field of study effects at the start of the career. Irish Educational Studies, 30 (2). pp. 253-270. ISSN 0332-3315

2010

Kum, H. and Menter, I. and Smyth, Geri (2010) Changing the face of the Scottish teaching profession? the experiences of refugee teachers. Irish Educational Studies, 29 (3). pp. 321-338. ISSN 0332-3315

2008

Devine, F. and Hearns, N. and Baum, T.G. and Murray, A. (2008) Cultural diversity in the curriculum: perceptions and attitudes of Irish hospitality and tourism academics. Irish Educational Studies, 27 (1). pp. 81-97. ISSN 0332-3315

This list was generated on Wed Aug 5 21:08:36 2020 BST.