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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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Number of items: 3.

2020

Holmes, Ashleigh and Pritchard, Leighton and Hedley, Peter E. and Morris, Jenny and McAteer, Sean P. and Gally, David L. and Holden, Nicola J. (2020) A high-throughput genomic screen identifies a role for the plasmid-borne type II secretion system of Escherichia coli O157:H7 (Sakai) in plant-microbe interactions. Genomics, 112 (6). pp. 4242-4253. ISSN 1089-8646

2005

Travers, M. and Cambot, M. and Kennedy, H.T. and Lenoir, G.M. and Barber, M.C. and Joulin, V. (2005) Asymmetric expression of transcripts derived from the shared promoter between the divergently orientated aCACA and tADA2L genes. Genomics, 85 (1). pp. 71-84. ISSN 1089-8646

2002

Tate, R. and Arshavsky, V.Y. and Pyne, N.J. (2002) The identification of the inhibitory gamma-subunits of the type 6 retinal cyclic guanosine monophosphate phosphodiesterase in non-retinal tissues: differential processing of mRNA transcripts. Genomics, 79 (4). pp. 582-586. ISSN 1089-8646

This list was generated on Tue Aug 11 03:07:32 2020 BST.