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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: 2010 | 2009 | 2006 | 2001
Number of items: 4.

2010

Ferguson, John and Collison, David and Power, David and Stevenson, Lorna (2010) The views of 'knowledge gatekeepers' about the use and content of accounting textbokks. Accounting Education, 19 (5). pp. 501-525. ISSN 0963-9284

2009

Joyce, Y. (2009) Competence-based approached to the assessment of professional accountancy training work experience requirements: the ICAS experience. Accounting Education, 18 (4-5). pp. 443-466. ISSN 0963-9284

2006

Coulson, Andrea and Thomson, Ian H. (2006) Accounting and sustainability, encouraging a dialogical apporoach: integrating learning activities, delivery mechanisms and assessment strategies. Accounting Education, 15 (3). pp. 261-273. ISSN 0963-9284

2001

Bebbington, J. and Thomson, I. (2001) Commentary on: some thoughts on social and environmental accounting education. Accounting Education, 10 (4). pp. 353-355. ISSN 0963-9284

This list was generated on Thu Aug 13 10:40:51 2020 BST.