AI Meets Maths: Imperial-hosted AI UK Fringe event explores physics-informed AI
Imperial departments partnered with Leeds University and The Alan Turing Institute for a workshop on physics-informed machine learning for AI UK 2024.
Data Science Institute champions women in data science and tech roles
Imperial’s Data Science Institute hosted a panel discussion for International Women’s Day, celebrating female careers in data science, AI and tech.
Imperial-led consortium to nurture careers of research technicians
Imperial will lead a new London programme to boost the training, careers, and recognition available to digital research technical professionals (RTPs)
Impact of artificial intelligence on AMR: Common themes and challenges
Researchers gather to explore visions, themes & challenges around the use of Artificial Intelligence (AI) to tackle antimicrobial resistance (AMR).
Novel heart model creates lifelike 4D images for better cardiac research
Researchers from Imperial College London have created ‘CHeart’, a new machine learning model that generates 4D images of the human heart.
New AI hub aims to unravel the fundamental mathematics behind AI
Imperial researchers are co-leading a £10m artificial intelligence (AI) hub that will develop frameworks for understanding machine learning models.
Imperial and Liverpool to lead UK’s flagship £12m AI for Chemistry Hub
Imperial and the University of Liverpool will lead a £12 million research Hub to develop state-of-the-art artificial intelligence (AI) for chemistry.
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Imperial introduces new machine learning stream in Applied Mathematics MSc
In an enhancement to its Applied Mathematics MSc, the Department of Mathematics has launched
a stream for scientific computing and machine learning.
Risk of dying from cancer varies widely across regions in England
The risk of dying of cancer in England varies hugely depending on where people live, according to new research led by Imperial.
New hub to gather data on diseases spread by mosquitoes, ticks and other vectors
A new £1.5m hub will support the sharing of data and findings on ‘vector-borne’ diseases among the UK research community and with policymakers.
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