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Keep up-to-date with all the latest news from the Centre for Machine Intelligence.
Susan Oman sat amongst others on a long desk in the UK parliament

Dr Susan Oman gives evidence on AI sovereignty to All Party Parliamentary Group

Dr. Susan Oman, CMI Lead for AI and In/equality, addressed the All-Party Parliamentary Group on AI during its Evidence Meeting on 18 May, presenting on AI sovereignty and the necessity of public literacy and engagement.
Data verification abstract AI

School of Computer Science awarded funding to build datasets shaping the future of AI

The project builds datasets to stress-test AI’s ability to safely analyze complex charts, tables, and long text within professional fact-checking scenarios.
Photo of CMI PhD Students
CMI PhD Students: James Roberts, Emma Harrison, Carine Roos, Ben Vass

Welcoming Our PhD Researchers to the Centre for Machine Intelligence

The Centre for Machine Intelligence (CMI) is pleased to introduce the PhD researchers working towards our mission of developing responsible, world-leading AI solutions.

Photo Sheffield Innovation Circle Group members

ARIA Funding Launches New Innovator Circle in Sheffield

Dr Charles Grellois, Lecturer in Verification at the School of Computer Science, has secured £20,000 in funding from the Advanced Research and Invention Agency (ARIA).

Graphic depicting drug screenings

±¬ÁÏTV AI Research recognised in Nature Machine Intelligence reusability report

The team have had their recent work on the bilinear attention model for predicting drug-target interactions recognised in a reusability report published by Nature Machine Intelligence.
A portrait photo of Professor James Marshall

World leading expert on bio-inspired AI to direct ±¬ÁÏTV’s Centre for Machine Intelligence

One of the world’s leading innovators in bio-inspired AI has joined the ±¬ÁÏTV, as part of a new multi-million pound centre that is set to transform the institution’s research, innovation and teaching around artificial intelligence.
MADE4

±¬ÁÏTV to train next generation of digital engineers, key to UK growth

Engineers with high quality skills in digital manufacturing - key to boosting UK productivity - are set to be trained by the ±¬ÁÏTV.
Professor Albert Ong, Richard Thomas and Jonathan Taylor with the PKD AI scan images

Artificial intelligence tool predicts kidney failure six times faster than human expert analysts

The artificial intelligence (AI) tool provides a super-fast analysis of future kidney lifespan, and could be used in kidney clinics throughout the world
Care home resident

Hospital admissions from care homes reduced by a quarter thanks to data-driven app

A smartphone app that allows care home staff to monitor the health of residents has been found to reduce hospital A&E attendances by 11 per cent and emergency admissions by 25 per cent.