AI healthcare
Government funding to ‘revolutionise AI healthcare research'
UKRI announces £13 million funding for artificial intelligence in health, with three projects launched at Imperial College London.
Government funding to ‘revolutionise AI healthcare research'
UKRI announces £13 million funding for artificial intelligence in health, with three projects launched at Imperial College London.
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.
Quaisr raises $3.1 million to develop digital twins for industry
The funding round will help the tech startup expand its team and drive forward product development.
I-X celebrates launch of new seminar series with guest speaker Cecilia Mascolo
Prof Cecilia Mascolo presents at the launch of the new I-X monthly seminar series.
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.