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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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Article

Manahan, G. G. and Habib, A. F. and Scherkl, P. and Ullmann, D. and Beaton, A. and Sutherland, A. and Kirwan, G. and Delinikolas, P. and Heinemann, T. and Altuijri, R. and Knetsch, A. and Karger, O. and Cook, N. M. and Bruhwiler, D. L. and Sheng, Z.-M. and Rosenzweig, J. B. and Hidding, B. (2019) Advanced schemes for underdense plasma photocathode wakefield accelerators : pathways towards ultrahigh brightness electron beams. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 377 (2151). 0182. ISSN 1364-503X

Hidding, Bernhard and Beaton, Andrew and Boulton, Lewis and Corde, SebastiƩn and Doepp, Andreas and Habib, Fahim Ahmad and Heinemann, Thomas and Irman, Arie and Karsch, Stefan and Kirwan, Gavin and Knetsch, Alexander and Manahan, Grace Gloria and de la Ossa, Alberto Martinez and Nutter, Alastair and Scherkl, Paul and Schramm, Ulrich and Ullmann, Daniel (2019) Fundamentals and applications of hybrid LWFA-PWFA. Applied Sciences, 9 (13). 2626. ISSN 2076-3417

This list was generated on Sat Aug 15 02:04:24 2020 BST.