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

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 ...

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 ...

Learn how data from call detail records can help you ... for the next 12 months as company demand for more sophisticated AI models and applications continues unabated. Copper CRM helps businesses ...

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

Trends and associations: The new era of big data and machine learning seeks to identify trends ... Second-order: By contrast, second-order algorithms model the surface with a quadratic surrogate model ...

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 ...

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 ...