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!

Scientists develop ultra‑robust machine‑learning models capable of stable molecular simulations at extreme temperatures

The idea is there is the red hot glow to show the 'extreme' temperatures of our simulations, and some molecules with blurred motion effects to show that it is a simulation. The study, published in ...
ascopubs.org

Using Adversarial Images to Assess the Robustness of Deep Learning Models Trained on Diagnostic Images in Oncology

HealthTree Cure Hub: A Patient-Derived, Patient-Driven Clinical Cancer Information Platform Used to Overcome Hurdles and Accelerate Research in Multiple Myeloma Adversarial images represent a ...
Frontiers

From Black Box to Glass Box: Trustworthy AI for Live Quantitative Investment

The mainstream adoption of machine learning in investment management has created a widening gap between predictive ...