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News stories

Keep up-to-date with all the latest news from the Centre for Machine Intelligence.
AI in Cancer Research Event
Dr Bilal Tahir speaking at the event

Sheffield brings clinicians, scientists and industry together to explore AI's potential in cancer research

Clinicians, researchers and industry partners came together for a joint workshop exploring how artificial intelligence can transform cancer research and care.

Encode Challengescape

Professor Mahnaz Arvaneh Secures ARIA and Pillar VC Support to Drive AI Neurotech Research at Sheffield

Prof Mahnaz Arvaneh secures backing from ARIA and Pillar VC through the Encode initiative to recruit an AI Research Fellow at Sheffield, advancing privacy-preserving EEG data for healthcare innovation.

Stock image of digital graphs

New £235K UKRI Metascience Grant to Explore AI’s Impact on Research Stewardship

Researchers from Sheffield’s RSE team have won £235K in UKRI funding to explore AI's impact on research stewardship. "Paying it Forward" will help funders track resource creation and ensure foundational datasets receive proper recognition.
Photo of NVIDIA Workshop taking place

Hands-On Workshop Explores Practical AI Agent Workflows with NVIDIA and N8

From theory to prototype in one afternoon: NVIDIA, CMI, Sheffield RSE, and N8 joined forces at The Diamond for a hands-on workshop.

Midhun Portrait

Appointment of Academic Fellow in AI for Health for the Centre for Machine Intelligence

Dr. Midhun Parakkal Unni joins us as the new Fellow in AI for Health for the Centre for Machine Intelligence!
KE Awards 2025 winner

Knowledge Exchange and Impact Award winners announced

The University's second annual Knowledge Exchange and Impact Awards honoured colleagues for their exceptional achievements and the far-reaching impact of their collaborations with partners at local, national and international levels.
Digital Health Hub

Pioneering data and AI advancements helping to deliver the NHS’s future vision

The University of Sheffield is pioneering advancements in data and artificial intelligence (AI) to improve healthcare and tackle health inequalities and will play a critical role in helping the government deliver its new 10-year plan for the NHS.

A bee flying near a Bluebell

New study revealing bees' secret to super-efficient learning could revolutionise AI and robotics

A new discovery of how bees use their flight movements to facilitate remarkably accurate learning & recognition of complex visual patterns could mark a major change in how next-generation AI is developed, according to a University of Sheffield study.
Three researchers stand in front of a pull up banner

Sheffield researchers showcase their work at the Armourers and Brasiers’ Cambridge Forum 2025

This year professor Katerina Christofidou and three early career researchers (ECRs), including the CMI's Xianyuan Liu, gave talks at the Armourers and Brasiers’ Cambridge Forum.