{PR[AI]RIE} Colloquium - AI-Descartes: Combining Data and Knowledge for Scientific Discovery Past

Cristina Cornelio, Samsung AI - Cambridge, UK 

Scientists aim to create mathematical models that accurately describe observed phenomena. In the past, models were manually created from domain knowledge and subsequently validated using data. More recently, models are automatically extracted from large datasets using machine learning algorithms. However, finding meaningful models from data remains an ongoing challenge. AI-Descartes is a scientific discovery framework that merges logical reasoning with symbolic regression, enabling the creation of interpretable models with minimal data requirements. AI-Descartes website: https://ai-descartes.github.io 

via Zoom: https://u-paris.zoom.us/j/82231267433?pwd=SHl6YkpIM3ZFck5oNTN4UWR1dkRldz09