Faculty develop methods for structured and unstructured biomedical data that advance statistical inference, machine learning, causal inference, and algorithmic modeling. Their work delivers principled ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

As a data scientist, I have a handful of books that serve as important resources for my work in the field – “Statistical Learning with Sparsity – The Lasso and Generalizations” by Trevor Hastie, ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

Forbes contributors publish independent expert analyses and insights. I write about the big picture of artificial intelligence. The pace of improvement in artificial intelligence today is breathtaking ...

Significant advances in artificial intelligence (AI) are rapidly changing many aspects of our lives, including education. These changes come with benefits and challenges. Targeted learning experiences ...

Researchers at the University of Bayreuth have developed a method using artificial intelligence that can significantly speed up the calculation of liquid properties. The AI approach predicts the ...