Modern vision-language models allow documents to be transformed into structured, computable representations rather than lossy text blobs.

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

Count data modelling occupies a central role in statistical applications across diverse disciplines including epidemiology, econometrics and engineering. Traditionally, the Poisson distribution has ...

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 ...

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 ...

Learn how this new standard connects AI to your data, enhances Web3 decision-making, and enables modular AI systems.

A new automated workflow developed by scientists at Lawrence Berkeley National Laboratory (Berkeley Lab) has the potential to allow researchers to analyze the products of their reaction experiments in ...

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 ...