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Keep up-to-date with all the latest news from the School of Computer Science.
A visual representation of AI learning from different kinds of data
AI could learn from data beyond vision and language to make it more practical, trustworthy and improve its understanding.

New ‘blueprint’ for advancing practical, trustworthy AI

A new ‘blueprint’ for building AI that highlights how the technology can learn from different kinds of data to make it more deployable in the real world, has been developed by researchers at the University of Sheffield and the Alan Turing Institute.
Or Meir

Welcoming Professor Or Meir to the School of Computer Science

Professor Meir joins us in his role as Professor of Algorithms.
AI For Math Fund

Sheffield to lead $1M project on AI-powered theorem proving, funded by Renaissance Philanthropy and XTX Markets

Titled ‘Copilots for Isabelle: Learning Logical Structure for a Better Proving Experience’, will advance the foundations and technology of interactive theorem proving, developing next-generation methods for proof assistants.
Bei and Amir

Meet our new academics

We are delighted to be welcoming Bei Peng, Lecturer in Artificial Intelligence & Applications of AI, and Amir Ghalamzan, Associate Professor, to the School of Computer Science.

Dr Heidi Christensen holding an award.

Congratulations to Dr Heidi Christensen who won the FDM everywoman in Technology award in the Academic Category.

This award recognises women in academia who have made an outstanding contribution to technology and science and whose work has made or has the potential to make a significant long-term impact in STEM.

Magnetic materials attract attention for reservoir computing

The study of domain walls in ferromangnetic nanorings has demonstrated behavior which has the potential to be useful in the development of reservoir computing, a brain-inspired computing method.
A honeybee flying towards a purple flower

Honeybees can solve maths tests without using numbers

Honeybees can solve a type of maths test without any need for numbers - a discovery that could be used to develop smarter artificial intelligence - according to new research from the University of Sheffield.