Nature

Dozens of AI disease-prediction models were trained on dubious data

The models are designed to predict someone’s risk of diabetes or stroke. A few might already have been used on patients.
IEEE

Exploring the Horizons of Meta-Learning in Neural Networks: A Survey of the State-of-the-Art

Abstract: In the vast landscape of machine learning, meta-learning stands out as a challenging and dynamic area of exploration. While traditional machine learning models rely on standard algorithms to ...
IEEE

Streaming Continual Learning for Unified Adaptive Intelligence in Dynamic Environments

Abstract: Developing effective predictive models becomes challenging in dynamic environments that continuously produce data and constantly change. Continual learning (CL) and streaming machine ...
Santa Clara University

HPC Machine Learning Tutorial

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 ...