Food allergy doubles in the UK over last decade but many still without treatment
The number of people with food allergy in the UK has more than doubled since 2008, with the largest increase seen in young children.
IGHI launches the first Global Health Summer School for Year 13 Students
Last week, the Institute of Global Health Innovation (IGHI) hosted its first Global Health Summer School for 22 Year-13 students from London schools
Data science summer students come together for most diverse cohort to date
84 students across 5 countries will complete the 2024 Data Science Summer School which celebrated the most diverse cohort so far.
Hidden data could reveal if an AI model was trained on copyrighted material
Copyright traps developed at Imperial College London create hidden data to let content creators later check if their work was used to train AI models
Global experts come together at Imperial for discussions on AI and policy
Imperial hosted Data For Policy 2024 Conference, bringing together academics, industry practitioners and policymakers to discuss global AI policy.
Imperial DSI hosts African delegation to encourage global effort on AI policy
In collaboration with Data for Policy CIC, the Data Science Institute hosted experts to discuss data and AI in Sub-Saharan Africa's public sector.
Imperial scientists solve conservation problems with new mathematical techniques
Three multidisciplinary Imperial College London research teams have secured over £50,000 in funding from the Turner Kirk Trust (TKT) Sprint Challenge.
Systems that can’t lie: ‘Honest Computing’ ensures transparent data practices
‘Honest Computing’ offers a new approach to building computer systems, guaranteeing that they operate transparently, reliably, and ethically.
Speakers from 10 Downing Street and Google DeepMind talk at DSI Symposium
Data Science Institutes from Imperial and LSE, co-hosted a symposium exploring how to make Generative AI work well.
AI-powered model cleans up ‘noisy’ Martian data to enable new discoveries
Data scientists propose a new method for ‘de-noising’ complex planetary data, enabling detailed analysis of Mars' surface and proposed landing sites.
