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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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Sklar, Pamela and Ripke, Stephan and Scott, Laura J and Andreassen, Ole A and Cichon, Sven and Craddock, Nick and Edenberg, Howard J and Nurnberger, John I and Rietschel, Marcella and Blackwood, Douglas and Corvin, Aiden and Flickinger, Matthew and Guan, Weihua and Mattingsdal, Morten and McQuillin, Andrew and Kwan, Phoenix and Wienker, Thomas F and Daly, Mark and Dudbridge, Frank and Holmans, Peter A and Lin, Danyu and Burmeister, Margit and Greenwood, Tiffany A and Hamshere, Marian L and Muglia, Pierandrea and Smith, Erin N and Zandi, Peter P and Nievergelt, Caroline M and McKinney, Rebecca and Shilling, Paul D and Schork, Nicholas J and Bloss, Cinnamon S and Foroud, Tatiana and Koller, Daniel L and Gershon, Elliot S and Liu, Chunyu and Badner, Judith A and Scheftner, William A and Lawson, William B and Nwulia, Evaristus A and Hipolito, Maria and Coryell, William and Rice, John and Byerley, William and McMahon, Francis J and Schulze, Thomas G and Berrettini, Wade and Lohoff, Falk W and Pickard, Benjamin S and Gordon-Smith, Katherine, Psychiatric GWAS Consortium Bipolar Disorder Working Group (2011) Large-scale genome-wide association analysis of bipolar disorder identifies a new susceptibility locus near ODZ4. Nature Genetics, 43 (10). pp. 977-983.

This list was generated on Fri Aug 7 10:44:40 2020 BST.