For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...

To govern AI safely and keep its speed advantage, enterprises must move from static, rule-based control systems to adaptive, ...

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

Climate scientists are confronting a hard truth: some of the most widely used models are struggling to keep up with the pace ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

Social media posts about unemployment can predict official jobless claims up to two weeks before government data is released, ...

Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models ...