mccormick.northwestern.edu

Exploring the Connections Among Machine Learning, Interpretability, and Logic

The field of interpretability investigates what machine learning (ML) models are learning from training datasets, the causes and effects of changes within a model, and the justifications behind its ...
insideHPC

Machine Learning Interpretability with Driverless AI

Data visualization techniques for representing high-degree interactions and nuanced data structures. Contemporary linear model variants that incorporate machine learning and are appropriate for use in ...
EurekAlert!

Tensor networks: Enhancing interpretability and efficiency in quantum-inspired machine learning

Deep machine learning has achieved remarkable success in various fields of artificial intelligence, but achieving both high interpretability and high efficiency simultaneously remains a critical ...
Geeky Gadgets

Machine Learning vs Deep Learning what are the differences?

With artificial intelligence (AI) exploding into our lives this year more than ever before you might be interested to know a little more about the technologies that have been used to create many of ...
MIT Technology Review

High-performance, low-cost machine learning infrastructure is accelerating innovation in the cloud

Cloud machine learning technologies, like AWS Inferentia, are accelerating organizations’ AI transformation. Provided byAmazon Web Services Artificial intelligence and machine learning (AI and ML) are ...