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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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Jump to: 2008 | 2006 | 2004
Number of items: 4.

2008

Thompson, D.G. and Enright, A. and Faulds, K. and Smith, W.E. and Graham, D. (2008) Ultrasensitive DNA detection using oligonucleotide-silver nanoparticle conjugates. Analytical Chemistry, 80 (8). pp. 2805-2810. ISSN 0003-2700

2006

Graham, D. and Enright, A. (2006) Cycloadditions as a method for oligonucleotide conjugation. Current Organic Synthesis, 3 (1). pp. 9-17. ISSN 1570-1794

Faulds, K. and Fruk, L. and Robson, D.C. and Thompson, D.G. and Enright, A. and Smith, W.E. and Graham, D. (2006) A new approach for DNA detection by SERRS. Faraday Discussions, 2006 (132). pp. 261-268. ISSN 1359-6640

2004

Enright, A. and Fruk, L. and Grondin, A. and McHugh, C.J. and Smith, W.E. and Graham, D. (2004) SERRS dyes - part 3. Synthesis of reactive benzotriazole azo dyes for surface enhanced resonance Raman scattering. Analyst, 129 (10). pp. 975-978. ISSN 0003-2654

This list was generated on Tue Aug 4 04:03:18 2020 BST.