A graphic representing artificial intelligence
A graphic representing artificial intelligence

Fast forward: UWL researchers win funding to develop better, more cost-effective AI software

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Artificial intelligence (AI) experts from the University of West London’s School of Computing and Engineering have been awarded a £162,005 grant by national innovation agency Innovate UK to develop high performance machine learning software.

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UWL Professor of Computing Wei Jie and Senior Lecturer in AI and Robotics Dr Fateme Dinmohammadi will work on an 18-month Knowledge Transfer Partnership together with industry specialist Turing Intelligence Technology Ltd (TurinTech).

We are very pleased to have this opportunity to work with a high-profile UK business like TurinTech, to develop cutting-edge AI software products. In this project, the UWL academic team including myself and Dr Dinmohammadi will provide knowledge and expertise in the development of new AI technologies.

We aim to form a long-term knowledge exchange partnership with them to explore future collaborations such as public funding bids and publications,”

says Professor Jie.

Machine learning is a subset of AI that focuses on building systems that can learn from data to identify patterns and make logical decisions, with little or no human intervention. In this project, TurinTech will leverage UWL’s expertise to enhance the ensemble modelling capabilities of its evoML platform, augmenting the platform's functionality and capacity.

To improve evoML’s overall performance, the project team aims to develop a smart engine that can intelligently discern the most optimal ensemble modelling techniques set, therefore streamlining the process to enhance its efficiency and accuracy.

The Head of the School of Computing and Engineering, Professor Philip Cox, said:

Accelerating the development of AI is crucial for UK business going forward. I am delighted to see our team right at the centre of such an exciting initiative to accelerate AI projects, speeding up prediction time to improve profitability and reduce computing costs.”

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