Driving Global Leadership in Ethical, Interdisciplinary AI & Data Science Research
We aim to be a globally renowned thought leader in AI and data science, setting the standard for research in AI and data science towards a greener, healthier, and fairer world.
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21 November 2024 | 15:00 | Phi-ML meets Engineering seminar series: Feynman path integral formulation of inverse problems: Lifting the assumption that the model is correct | Add event |
25 November 2024 | 13:30 | Working with Government on Data & Digital | Add event |
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