Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...

Data science has moved from a niche technical discipline to a core function across industries. Organizations now rely on data-driven decision-making in areas ranging from finance and healthcare to ...

TAMEST (Texas Academy of Medicine, Engineering, Science and Technology) and Lyda Hill Philanthropies today announced the ...

UT biochemistry major Milit Patel collaborated with researchers at Memorial Sloan Kettering Cancer Center on research published in a top cancer journal.

Discover how credibility theory helps actuaries use historical data to estimate risks and set insurance premiums; learn how ...

For the first time, researchers have used machine learning—a type of artificial intelligence (AI)—to identify the most ...

A new Stanford-led analysis of corporate carbon disclosures finds that companies undercount emissions from their supply ...

Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but ...

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

Discover how econometricians use math and statistics to analyze and predict economic trends, serving in finance and academia ...

Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...

In a sense, it sounds like that’s another facet of computational thinking that’s more relevant in the age of AI—the abstractions of statistics and probability in addition to algorithms and data ...