Optimizing human-centered AI for healthcare in the Global South

Waking up to Marginalization: Public Value Failures in Artificial Intelligence and Data Science

Self-Supervised Approach to Addressing Zero-Shot Learning Problem

Tackling hard computational problems

When researchers don’t have the proteins they need, they can get AI to ‘hallucinate’ new structures

Seeing the plasma edge of fusion experiments in new ways with artificial intelligence

Integrating pathway knowledge with deep neural networks to reduce the dimensionality in single-cell RNA-seq data

Are We Learning Yet? A Meta Review of Evaluation Failures Across Machine Learning

Dense anomaly detection by robust learning on synthetic negative data

Dealing with Disagreements: Looking Beyond the Majority Vote in Subjective Annotations