Those changes will be contested, in math as in other academic disciplines wrestling with AI’s impact. As AI models become a ...

Abstract: Machine learning is a powerful technology for extracting information from data of diverse nature and origin. As its deployment increasingly depends on data from multiple entities, ensuring ...

This tutorial is an adaptation of the NumPy Tutorial from Tensorflow.org. To run this tutorial, I assume you already have access to the WAVE HPC with a user account and the ability to open a terminal ...

Abstract: Most machine learning methods assume fixed probability distributions, limiting their applicability in nonstationary real-world scenarios. While continual learning methods address this issue, ...