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 ...

Overview: Fewer than half of enterprise machine learning models reach production, and the root cause is almost always a ...

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 ...

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 ...

Overview: Algorithm selection is an engineering decision: the wrong choice can freeze a system at scale, regardless of ...

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 ...

A Stanford team used geospatial data and detection algorithms to achieve a tenfold increase in rescues from modern slavery in ...

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 ...

Sheryl Grey is a freelance writer who specializes in creating content related to education, aging and senior living, and real estate. She is also a copywriter who helps businesses grow through expert ...