Just as people from different countries speak different languages, AI models also create various internal "languages"—a ...

The artificial intelligence community has long struggled with a fundamental challenge of making AI systems transparent and understandable. As large language models become increasingly powerful, ...

The rapid advancement of Machine Learning (ML) represents novel opportunities to enhance public health research, surveillance, and decision-making. However, there is a lack of comprehensive ...

Evolutionary Learning of Interpretable Decision Trees Abstract: In the last decade, reinforcement learning (RL) has been used to solve several tasks with human-level performance. However, there is a ...