News

News stories

Keep up-to-date with all the latest news from the School of Computer Science.
Cityscape of Sheffield in the evening

Sheffield AI research highlighted in Financial Times feature on UK digital economy

Professor James Marshall, Director of the Centre for Machine Intelligence, discusses how South Yorkshire's physical AI and advanced engineering are driving UK economic growth outside of London.
CMI Strategy Cover

Forging a Responsible Future: University of Sheffield's Centre for Machine Intelligence Unveils 2026 Strategy

The University of Sheffield’s Centre for Machine Intelligence (CMI) has launched its Strategy 2026, a plan to advance artificial intelligence while championing responsible, human-centric development.
External advisory board members

New external advisory board appointed for the Centre for Machine Intelligence

Ten leaders from organisations from industry, government, and the third sector, have joined a new advisory board to guide AI research at the University of Sheffield.

EYH winning team

Engineering You’re Hired students showcase innovation and creativity at the Engineers and Scientists in Business Final

The entrepreneurial talent and creativity of our students was celebrated at the 2026 Engineers and Scientists in Business Competition Final.
Neil Walkinshaw profile photo

Department Grant Success

We’re delighted to announce that the department has had a successful grant application.
Computer Science number one for student satisfaction (NSS) image

Number one in the Russell Group for student satisfaction

We are number one in the Russell Group for student satisfaction in computer science according to the latest National Student Survey (NSS).
Autonomous car top view

Bees are helping design the next generation of autonomous technology

Our experts have gone back to nature to find a solution to the problem of machine learning.
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School children will be able to program a robotic pet from home with the help of learning resources, tests, and lesson plans for teachers. Credit: Consequential Robotics

Robotics distance learning project could close skills gap and boost economy

A new distance learning project that will enable more people to develop skills in robotics and autonomous systems, to help close the skills gap and drive forward productivity in the UK, is being launched by researchers from our deparment.
Zilico device

Scientists to develop pain-free device to detect oral cancer

A research collaboration has been awarded £1m in funding from SBRI Healthcare – an NHS England initiative – to test and develop a pain-free, non-invasive and instantaneous method to detect oral cancer.