The significant increase in volume and complexity of data resulting from technological development is a common challenge faced by many scientific disciplines. More sensitive detectors and large scale experiments are […]
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Machine learning for scientific discovery: how far can data-driven approaches take us?
Palestrante: Emille E. O. Ishida, pesquisadora do CNRS, França The significant increase in volume and complexity of data resulting from technological development is a common challenge faced by many scientific […]