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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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Blair, E. O. and Buchoux, A. and Tsiamis, A. and Dunare, C. and Marland, J. R. K. and Gray, M. E. and Terry, J. G. and Smith, S. and Walton, A. J. (2020) Test structures for developing packaging for implantable sensors. IEEE Transactions on Semiconductor Manufacturing, 33 (2). pp. 224-231. ISSN 0894-6507

Marland, Jamie R.K. and Moore, Fiona and Dunare, Camelia and Tsiamis, Andreas and Gonzalez-Fernandez, Eva and Blair, Ewen O. and Smith, Stewart and Terry, Jonathan G. and Murray, Alan F. and Walton, Anthony J. (2020) Optimization of Nafion polymer electrolyte membrane design and microfabrication. IEEE Transactions on Semiconductor Manufacturing, 33 (2). pp. 196-201. ISSN 0894-6507

Blair, Ewen and Corrigan, D.K. and Levene, H.J. and Schmueser, I. and Terry, J. G. and Smith, S. and Mount, A. R. and Walton, A. J. (2017) Improving the yield and lifetime of microfabricated sensors for harsh environments. IEEE Transactions on Semiconductor Manufacturing, 30 (3). pp. 192-200. ISSN 0894-6507

This list was generated on Wed Aug 5 18:20:49 2020 BST.