Using artificial intelligence in health sciences education requires interdisciplinary collaboration and risk assessment

Survey on Large Scale Neural Network Training

Designing Effective Sparse Expert Models

Solving Separation-of-Concerns Problems in Collaborative Design of Human-AI Systems through Leaky Abstractions

The benefits of peripheral vision for machines

Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?

What’s “Up Next”? Investigating Algorithmic Recommendations on YouTube Across Issues and Over Time

Graph Attention Retrospective

Online certification of preference-based fairness for personalized recommender systems

Can machine-learning models overcome biased datasets?