The CaDiR community hosted a combined C++ User Group meeting and AI-assisted coding forum in April 2026 at the University. The event featured expert talks, panel discussions, and a guest lecture, fostering technical and ethical conversations on software development and AI tools.

The Research IT Platforms team recently completed the deployment of Nvidia H200 servers within the University’s flagship high performance compute resource – the Computational Shared Facility.

Discover how our Research Software Engineers worked with a marine shipping company to optimise solar energy usage for the maritime industry, aiding the sector's transition to Net Zero.

Two of our Research Software Engineers, in conjunction with the Department of Computer Science at the University, partnered with mindcubes to prototype a multi-modal semantic search system that links images to structured knowledge, delivering a scalable AI pipeline for smarter, concept-aware retrieval.

Ever wondered what the difference between an Machine Learning (ML) engineer and an Artificial Intelligence (AI) engineer is?  Research Software Engineer Ettore Murabito helps to explain the differences between the two roles.

In collaboration with Visioning Lab, the Research Software Engineering team has developed Ontology Maker, an AI-powered platform that helps international teams manage key terminology across languages and disciplines. Initially focused on the temporary architecture sector, the tool simplifies the creation of multilingual glossaries to support faster, more effective disaster response.

Our Research Software Engineers, in close collaboration with the Department of Computer Science, teamed up with local SME, voxANN, to build an AI pipeline that links English and Spanish for smooth, high-quality dubbing — unlocking smarter, scalable media localisation.

Research IT has played a key role in the Turing Innovation Catalyst programme which aims to accelerate Greater Manchester's growth into a global AI superpower.  The programme recently won Tech Hub of the year at the 2024 Prolific North Tech Awards.

Research Software Engineer Anthony Evans delves into how cutting-edge AI tools powered by advanced Large Language Models (LLMs) can help deliver contextually relevant assistance and suggestions, enhancing your RStudio programming workflow.

In today's digital age, artificial intelligence (AI) plays a pivotal role in content creation, from writing articles to composing poetry. This technological marvel raises a pressing question: How can we discern whether the content we consume is the product of human creativity or the output of a sophisticated AI?