Scientists sometimes compare predicting the course of epidemics to forecasting the weather. But there's a major difference—the impact of human behavior—says Alessandro Vespignani, director of ...

His approach combines physics-based models with the flexibility of data-driven components that can adapt and correct predictions based on real-world experimental data.

As AI becomes increasingly pervasive, the ability to decode and communicate how AI-based systems reach conclusions will be fundamental to their widespread adoption.

Transparency and clear explanations about AI sourcing, machine learning, algorithms, language models, and evolving AI technologies support trustworthiness. From a technical perspective, interpretable ...