Machine learning is transforming software engineering by integrating sophisticated data-driven algorithms into traditional development practices. This interdisciplinary area has expanded rapidly, ...

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models is learning without crossing ethical lines.

Cancer is the second leading cause of death worldwide. Since age is one of the risk factors for the development of cancer, ...

The adoption of machine learning approaches in systematic reviews is fundamentally transforming evidence-based medicine. Traditionally, systematic reviews have involved painstaking manual screening of ...

Are you contemplating a PhD and interested in economic or social science applications of machine learning? You might be a good fit for our pre-doc position. The Center for Applied Artificial ...