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 Author or creator

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: 2017 | 2015
Number of items: 2.

2017

Tobin, John M. and McCabe, Timothy J. D. and Prentice, Andrew W. and Holzer, Sarah and Lloyd, Gareth O. and Paterson, Martin J. and Arrighi, Valeria and Cormack, Peter A. G. and Vilela, Filipe (2017) Polymer-supported photosensitizers for oxidative organic transformations in flow and under visible light irradiation. ACS Catalysis, 7 (7). pp. 4602-4612. ISSN 2155-5435

2015

Devlin, Jennifer and Kerr, William J. and Lindsay, David M. and McCabe, Timothy J.D. and Reid, Marc and Tuttle, Tell (2015) Iridium-catalysed ortho-directed deuterium labelling of aromatic esters – an experimental and theoretical study on directing group chemoselectivity. Molecules, 20 (7). pp. 11676-11698. ISSN 1420-3049

This list was generated on Fri Aug 14 11:47:23 2020 BST.