—
by
Our group’s research has been featured in Imperial Magazine (Issue 59) as part of the article “The science machines come of age,” which highlights how AI is transforming modern scientific discovery.
The piece showcases our work on SciML-enhanced planetary imaging as an example of how AI is enhancing research processes, accelerating insights, and contributing to a broader shift toward AI-enabled science at Imperial College London.
Our group’s research has been featured in Imperial Magazine (Issue 59) as part of the article “The science machines come of age,” which highlights how… Read more →
We are excited to announce we have 3 workshop papers accepted at the Differentiable Systems and Scientific Machine Learning workshop at EurIPS on December 6,… Read more →
Dr. Ben Moseley taught students how to design scalable physics-informed neural networks at Centrum Wiskunde & Informatica in Amsterdam during their Autumn School on Scientific… Read more →
We are very excited to welcome Davide Staub to the lab as a PhD student! Davide brings a strong interdisciplinary background at the interface of… Read more →
Several PhD opportunities are available in our Scalable Scientific Machine Learning Lab at Imperial College London. These projects are eligible for Imperial PhD scholarships (open… Read more →
One of our PhD students, Ardan Suphi, will be visiting the University of Bern to collaborate on improving multispectral imaging of Mars using SciML. He… Read more →
