AI at Nottingham
 
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Scientific Discovery

 

Our adventurous and ambitious AI projects have a clear multi-disciplinary focus and draw upon and influence a range of disciplines and new interdisciplinary application areas. We categorise these as scientific discovery projects.  

Our grounding in diverse applications involves dialogue with many other disciplines for scientific discovery. In addition to health and autonomous systems, we have a variety of AI-driven scientific discovery projects in energy, transport, food sciences, humanities, demographics, physics, chemistry, and engineering.

Highlights from our AI projects

plant growning in a lab

Plant Phenotyping

EPPN logo

European Plant Phenotyping Network

Johnathan Hirst, man with glasses with blue line patterned background

Royal Academy of Engineering Chairs in Emerging Technology: Prof Jonathan Hirst

 
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University of Nottingham Honorary Fellowship Award: Dr Alan Chamberlain

Image of a Sunflower

Deep machine learning to capture the performance of plants

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Designing Bio-Instructive Materials

 
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Revisiting Optical Scattering With Machine Learning

Dr Tanvir Hussain

EPSRC Fellowship: Dr Tanvir Hussain

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Data CAMMP

 
Predicting deaths based on shopping habits prescription image

Predicting deaths based on shopping habits

 

Our Address:
The University of Nottingham
University Park
Nottingham, NG7 2RD

Email us:
AI@Nottingham.ac.uk