For AI developers and industry leaders, effectively leveraging public data can be the difference between breakthrough ...

In this interdisciplinary project, the team will utilize an approach to algorithm ... models used in machine learning. PI Clifton will also attempt to categorize the algorithmic sources of bias in ...

In the modern digital transformation era, advancements in data-driven healthcare are reshaping patient care and clinical ...

O’Neil elaborated on a topic she discussed in her book Weapons of Math Destruction — her belief that big data ... Algorithms have been used in workplace personality tests to filter out risky job ...

Fire and insurance experts convened on Tuesday to help California take a step toward solving its insurance issues with big ...

It’s all across the nation at our major research universities, which are key to maintaining global competitiveness against ...

However, using their new algorithm, Zhang and his collaborators unearthed a hypergraph model that accurately captured connections in the EEG data among three or more regions. That suggests ...

Alternatively, in gene expression clustering, incomplete data arise from the intentional omission of gene-to-cluster assignments in the probabilistic model. The expectation maximization algorithm ...