University of Wisconsin professor of soil science Jingyi Huang and data scientist Maria Oros worked over the summer on a new modeling tool for soil scientists. The pair used machine learning and ...

A new algorithm can identify the most predictive data points that a tipping point is near. Whether you're trying to predict a climate catastrophe or mental health crisis, mathematics tells us to look ...

Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

For many Americans who witnessed the attack on the Capitol last Jan. 6, the idea of mobs of people storming a bedrock of democracy was unthinkable. For the data scientists who watched it unfold, the ...

Content created with the help of generative AI is popping up everywhere, and it’s worrying some artists and content creators. They’re concerned that their intellectual property may be at risk if ...

Data science is powerful, and many organizations are investing heavily. But too often data science efforts fall short of reaping the full potential of their benefits. One of the world’s toughest ...

"If your competitors are applying AI, and they're finding insight that allow them to accelerate, they're going to peel away really, really quickly," Deborah Leff, CTO for data science and AI at IBM, ...

Whether you’re trying to predict a climate catastrophe or mental health crisis, mathematics tells us to look for fluctuations. Changes in data, from wildlife population to anxiety levels, can be an ...