Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- ;
- University of Manchester
- University of Nottingham
- ; University of Birmingham
- ; University of Nottingham
- Harper Adams University
- ; Swansea University
- ; University of Exeter
- University of Cambridge
- ; City St George’s, University of London
- ; Cranfield University
- ; The University of Edinburgh
- ; University of Cambridge
- ; University of Leeds
- ; University of Warwick
- Abertay University
- Heriot Watt University
- Imperial College London
- THE HONG KONG POLYTECHNIC UNIVERSITY
- ; Aston University
- ; Brunel University London
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Imperial College London
- ; King's College London
- ; Loughborough University
- ; UCL
- ; University of Bristol
- ; University of Copenhagen
- ; University of East Anglia
- ; University of Reading
- ; University of Southampton
- ; University of Surrey
- AALTO UNIVERSITY
- Durham University
- University of Sheffield
- University of Warwick
- 27 more »
- « less
-
Field
-
predictive accuracy and prohibitively long computational times, making them unsuitable for real-time process control. Artificial intelligence (AI) models present a promising alternative by addressing
-
Language Model, or Artificial Intelligence be used? The impact of this research will be to enable practitioners and the stakeholders of systems models to make objective assessment of model qualities using
-
Ultrafast lasers drive innovations from quantum technology to medical imaging, yet controlling femtosecond pulses remains a major challenge. Metamaterials are artificial structures with
-
convert relevant measurement data into actionable information, such as the health condition, and/or the remaining useful life of critical assets. Currently, Artificial Intelligence (AI) based big data
-
to introduce decision making into artificial materials for applications in areas such as soft robotics and MedTech. This project is supported by a European Research Council Starting Grant awarded to Dr. Oliver
-
approach in the Arctic Ocean involves the artificial thickening of sea-ice to prevent total loss during the summer melt season. The PhD candidate will work closely with biogeochemical (BGC) modellers and
-
improving the reliability of the prediction of structural performance. This project aims to continue developing the stochastic inference framework by leveraging recent advances in artificial intelligence
-
Intelligence (also known as Third Wave AI as initially described by DARPA) is the term that references the next foreseen advances within Artificial Intelligence. This stems from the two main styles of AI
-
scholarship is suitable for students with a background in Engineering, Mathematics, and Computer Science. Students with interests in machine learning, deep learning, AI, intelligent decision making
-
conservation strategy: building artificial banks which manipulate local topography to provide a diverse range of warm and cool “microclimates” to facilitate both species’ arrival and persistence on nature