The state of the art AI technology has been playing significant role in medical fields. Recently, led by Prof Xiaohong Gao, Middlesex University is in partnership with several other institutions and NHS hospitals working on AI in early detection of cancers (funded by CRUK), AI in visualisation of HPV virus (funded by The Royal Society) […]
We are pleased to announce that Middlesex University now has partnered with CipherTrace to help train digital forensic investigators of the future in cryptocurrency intelligence techniques. The partnership will provide students, and CPD learners access to cutting-edge commercial blockchain forensic software as part of Middlesex Universities Undergraduate and Postgraduate Digital Forensic programmes. This is the […]
A new technical collaboration has been established between the Research Group on Development of Intelligent Environments at Middlesex University London and GLL, a non-profit charitable Social Enterprise organization which runs over 250 sport and leisure facilities and libraries in the UK. Click here for additional details.
The Neuromorphic Embodied Agents that Learn project (NEAL) is part of the The Human Brain Project funded by the EU. This project builds on our earlier Cell Assembly Robot (CABot) work and extends it. NEAL will translate the Java based fatiguing leaky integrate and fire neural model and system to PyNN, which in turn will […]
Researchers from our department attracted funding from the EU through the call “ICT for smart and personalised inclusion” (Objective ICT-2013.5.3). The project title is: PersOnalized Smart Environments to increase Inclusion of people with DOwn’s syNdrome (POSEIDON). The Middlesex University team is a multi-disciplinary team with including colleagues from other departments of our S&T School. The […]
Franco Raimondi has been awarded an EPSRC grant in collaboration with Natasha Alechina (School of Computer Science, University of Nottingham) for the Verification of Resource-Bounded Multi-Agents Systems (VRBMAS). More details about the project can be found at the project’s web site: http://www.vrbmas.org.
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