Imperial secures funding to improve cancer-related decision-making using AI
An Imperial-led project will use AI to provide more accurate and up-to-date information on breast cancer to aid clinical decision-making.
DigiFAB Hackathon tackles science challenges with large language models
The Institute for Digital Molecular Design and Fabrication (DigiFAB) hosted a hackathon themed around large language models in science.
Data Science Summer School returns in person with great success
60 students took part in the 2023 Data Science Summer School which returned for the first time in person since the pandemic.
Imperial Organises Annual Conference on Mathematical Research for Blockchain
Imperial organised the fourth MARBLE Conference on Mathematical Research for Blockchain Economy which took place in London on 11-13 July 2023.
Prof Jon Crowcroft appointed Visiting Professor of I-X & Department of Computing
Professor Jon Crowcroft FRS, FREng will be joining I-X and the Department of Computing as a Visiting Professor, effective from 1st October 2023.
Hong Kong Institution of Engineers visit DSI to learn about climate research
Engineers from The Hong Kong Institution of Engineers visited Imperial’s Data Observatory to hear about the latest research in climate resilience.
Imperial and LSE Co-hosted Symposium Explores the Future of Generative AI
Data Science Institutes from Imperial and LSE, co-hosted a symposium exploring how large language models like ChatGPT could transform society.
Physics Professor at MIT explores innovative research at Imperial's DSI
Head of the Physics Department at MIT Professor Deepto Chakrabarty, visited Imperial's Data Science Institute to hear about current research.
Imperial partners with LSE for symposium on generative AI and future impacts
Registrations open for Symposium on Generative AI and the Knowledge Economy, co-hosted by Imperial and LSE as part of 'DSI Squared' collaboration.
New computer model helps assess privacy risks of networked data collection
Privacy experts from Imperial have created a new computational tool to estimate the number of people at risk from data collected on social networks.
