mccormick.northwestern.edu

Exploring New Directions on Robustness in Machine Learning

On November 16, IDEAL hosted a workshop focused on new directions on robustness in machine learning as part of the fall 2021 special quarter. Machine learning systems are widely deployed to facilitate ...
EurekAlert!

Keeping your backdoor secure—in your robust machine learning model

Software systems are all around us—from the operating system of our computers to search engines to automation used in industrial applications. At the centre of all of this is data, which is used in ...
Semiconductor Engineering

Safe And Robust Machine Learning

Deploying machine learning in the real world is a lot different than developing and testing it in a lab. Quenton Hall, AI systems architect at Xilinx, examines security implications on both the ...
Purdue University

One-step multicomponent reaction with interpretable machine learning innovation to develop chemical library for drug discovery

WEST LAFAYETTE, Ind. – Machine learning has been used widely in the chemical sciences for drug design and other processes. The models that are prospectively tested for new reaction outcomes and used ...
University of Delaware

Explainable AI

Artificial intelligence and machine learning are tools that have shown great promise in helping humans make deeper connections between disparate data. This is because AI and machine learning models ...